[08-2020] python-data-science-machine-learning-bootcamp

File Name

Size

04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4

449 MB

01 Introduction to the Course/001 What is Machine Learning_.mp4

32 MB

01 Introduction to the Course/002 What is Data Science_.en_US.srt

5.3 kB

01 Introduction to the Course/002 What is Data Science_.mp4

72 MB

01 Introduction to the Course/003 Download the Syllabus.html

2.1 kB

01 Introduction to the Course/003 ML-Data-Science-Syllabus.pdf

104 kB

01 Introduction to the Course/004 App-Brewery-Cornell-Notes-Template.txt

81 B

01 Introduction to the Course/004 Top Tips for Succeeding on this Course.html

2.7 kB

01 Introduction to the Course/005 Course Resources List.html

1.8 kB

02 Predict Movie Box Office Revenue with Linear Regression/006 Course-Resources.txt

62 B

02 Predict Movie Box Office Revenue with Linear Regression/006 Introduction to Linear Regression & Specifying the Problem.en_US.srt

8.1 kB

02 Predict Movie Box Office Revenue with Linear Regression/006 Introduction to Linear Regression & Specifying the Problem.mp4

39 MB

02 Predict Movie Box Office Revenue with Linear Regression/007 cost-revenue-dirty.csv

375 kB

02 Predict Movie Box Office Revenue with Linear Regression/007 Gather & Clean the Data.en_US.srt

13 kB

02 Predict Movie Box Office Revenue with Linear Regression/007 Gather & Clean the Data.mp4

69 MB

02 Predict Movie Box Office Revenue with Linear Regression/007 The-Numbers-Movie-Budgets.txt

42 B

02 Predict Movie Box Office Revenue with Linear Regression/008 cost-revenue-clean.csv

91 kB

02 Predict Movie Box Office Revenue with Linear Regression/008 Explore & Visualise the Data with Python.en_US.srt

29 kB

02 Predict Movie Box Office Revenue with Linear Regression/008 Explore & Visualise the Data with Python.mp4

189 MB

02 Predict Movie Box Office Revenue with Linear Regression/008 Try-Jupyter-in-your-Browser.txt

25 B

02 Predict Movie Box Office Revenue with Linear Regression/009 01-Linear-Regression-checkpoint.ipynb.zip

38 kB

02 Predict Movie Box Office Revenue with Linear Regression/009 The Intuition behind the Linear Regression Model.en_US.srt

10 kB

02 Predict Movie Box Office Revenue with Linear Regression/009 The Intuition behind the Linear Regression Model.mp4

20 MB

02 Predict Movie Box Office Revenue with Linear Regression/010 Analyse and Evaluate the Results.en_US.srt

21 kB

02 Predict Movie Box Office Revenue with Linear Regression/010 Analyse and Evaluate the Results.mp4

142 MB

02 Predict Movie Box Office Revenue with Linear Regression/011 01-Linear-Regression-complete.ipynb.zip

75 kB

02 Predict Movie Box Office Revenue with Linear Regression/011 Download the Complete Notebook Here.html

727 B

02 Predict Movie Box Office Revenue with Linear Regression/012 Join the Student Community.html

1.3 kB

02 Predict Movie Box Office Revenue with Linear Regression/013 Any Feedback on this Section_.html

997 B

03 Python Programming for Data Science and Machine Learning/014 Course-Resources.txt

62 B

03 Python Programming for Data Science and Machine Learning/014 Windows Users - Install Anaconda.en_US.srt

8.2 kB

03 Python Programming for Data Science and Machine Learning/014 Windows Users - Install Anaconda.mp4

58 MB

03 Python Programming for Data Science and Machine Learning/015 Course-Resources.txt

62 B

03 Python Programming for Data Science and Machine Learning/015 Mac Users - Install Anaconda.en_US.srt

7.5 kB

03 Python Programming for Data Science and Machine Learning/015 Mac Users - Install Anaconda.mp4

81 MB

03 Python Programming for Data Science and Machine Learning/016 Does LSD Make You Better at Maths_.en_US.srt

6.8 kB

03 Python Programming for Data Science and Machine Learning/016 Does LSD Make You Better at Maths_.mp4

67 MB

03 Python Programming for Data Science and Machine Learning/017 12-Rules-to-Learn-to-Code.pdf

2.2 MB

03 Python Programming for Data Science and Machine Learning/017 Download the 12 Rules to Learn to Code.html

1.8 kB

03 Python Programming for Data Science and Machine Learning/018 [Python] - Variables and Types.en_US.srt

15 kB

03 Python Programming for Data Science and Machine Learning/018 [Python] - Variables and Types.mp4

84 MB

03 Python Programming for Data Science and Machine Learning/019 [exercise] Python Variable Coding Exercise.zip

241 B

03 Python Programming for Data Science and Machine Learning/019 [exercise_info] Python Variable Coding Exercise.html

1.9 kB

03 Python Programming for Data Science and Machine Learning/019 [exercise_solution] Python Variable Coding Exercise.zip

173 B

03 Python Programming for Data Science and Machine Learning/019 [Python] - Lists and Arrays.en_US.srt

11 kB

03 Python Programming for Data Science and Machine Learning/019 [Python] - Lists and Arrays.mp4

61 MB

03 Python Programming for Data Science and Machine Learning/020 [exercise] Python Lists Coding Exercise.zip

246 B

03 Python Programming for Data Science and Machine Learning/020 [exercise_info] Python Lists Coding Exercise.html

1.9 kB

03 Python Programming for Data Science and Machine Learning/020 [exercise_solution] Python Lists Coding Exercise.zip

228 B

03 Python Programming for Data Science and Machine Learning/020 [Python & Pandas] - Dataframes and Series.en_US.srt

26 kB

03 Python Programming for Data Science and Machine Learning/020 [Python & Pandas] - Dataframes and Series.mp4

204 MB

03 Python Programming for Data Science and Machine Learning/020 lsd-math-score-data.csv

155 B

03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.en_US.srt

33 kB

03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4

350 MB

03 Python Programming for Data Science and Machine Learning/022 [Python] - Functions - Part 1_ Defining and Calling Functions.en_US.srt

9.7 kB

03 Python Programming for Data Science and Machine Learning/022 [Python] - Functions - Part 1_ Defining and Calling Functions.mp4

47 MB

03 Python Programming for Data Science and Machine Learning/023 [exercise] Python Functions Coding Exercise - Part 1.zip

285 B

03 Python Programming for Data Science and Machine Learning/023 [exercise_info] Python Functions Coding Exercise - Part 1.html

1.6 kB

03 Python Programming for Data Science and Machine Learning/023 [exercise_solution] Python Functions Coding Exercise - Part 1.zip

269 B

03 Python Programming for Data Science and Machine Learning/023 [Python] - Functions - Part 2_ Arguments & Parameters.en_US.srt

19 kB

03 Python Programming for Data Science and Machine Learning/023 [Python] - Functions - Part 2_ Arguments & Parameters.mp4

190 MB

03 Python Programming for Data Science and Machine Learning/024 [exercise] Python Functions Coding Exercise - Part 2.zip

276 B

03 Python Programming for Data Science and Machine Learning/024 [exercise_info] Python Functions Coding Exercise - Part 2.html

1.4 kB

03 Python Programming for Data Science and Machine Learning/024 [exercise_solution] Python Functions Coding Exercise - Part 2.zip

253 B

03 Python Programming for Data Science and Machine Learning/024 [Python] - Functions - Part 3_ Results & Return Values.en_US.srt

15 kB

03 Python Programming for Data Science and Machine Learning/024 [Python] - Functions - Part 3_ Results & Return Values.mp4

94 MB

03 Python Programming for Data Science and Machine Learning/025 [exercise] Python Functions Coding Exercise - Part 3.zip

210 B

03 Python Programming for Data Science and Machine Learning/025 [exercise_info] Python Functions Coding Exercise - Part 3.html

1.4 kB

03 Python Programming for Data Science and Machine Learning/025 [exercise_solution] Python Functions Coding Exercise - Part 3.zip

190 B

03 Python Programming for Data Science and Machine Learning/025 [Python] - Objects - Understanding Attributes and Methods.en_US.srt

28 kB

03 Python Programming for Data Science and Machine Learning/025 [Python] - Objects - Understanding Attributes and Methods.mp4

234 MB

03 Python Programming for Data Science and Machine Learning/026 How to Make Sense of Python Documentation for Data Visualisation.en_US.srt

24 kB

03 Python Programming for Data Science and Machine Learning/026 How to Make Sense of Python Documentation for Data Visualisation.mp4

265 MB

03 Python Programming for Data Science and Machine Learning/027 Working with Python Objects to Analyse Data.en_US.srt

25 kB

03 Python Programming for Data Science and Machine Learning/027 Working with Python Objects to Analyse Data.mp4

259 MB

03 Python Programming for Data Science and Machine Learning/028 [Python] - Tips, Code Style and Naming Conventions.en_US.srt

16 kB

03 Python Programming for Data Science and Machine Learning/028 [Python] - Tips, Code Style and Naming Conventions.mp4

131 MB

03 Python Programming for Data Science and Machine Learning/029 02-Python-Intro.ipynb.zip

36 kB

03 Python Programming for Data Science and Machine Learning/029 Download the Complete Notebook Here.html

727 B

03 Python Programming for Data Science and Machine Learning/030 Any Feedback on this Section_.html

998 B

04 Introduction to Optimisation and the Gradient Descent Algorithm/031 Course-Resources.txt

62 B

04 Introduction to Optimisation and the Gradient Descent Algorithm/031 What's Coming Up_.en_US.srt

3.6 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/031 What's Coming Up_.mp4

25 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/032 How a Machine Learns.en_US.srt

6.7 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/032 How a Machine Learns.mp4

17 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/033 Introduction to Cost Functions.en_US.srt

8.7 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/033 Introduction to Cost Functions.mp4

77 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/034 LaTeX Markdown and Generating Data with Numpy.en_US.srt

16 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/034 LaTeX Markdown and Generating Data with Numpy.mp4

77 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/035 Understanding the Power Rule & Creating Charts with Subplots.en_US.srt

17 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/035 Understanding the Power Rule & Creating Charts with Subplots.mp4

104 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.en_US.srt

40 kB

01 Introduction to the Course/001 What is Machine Learning_.en_US.srt

6.4 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [exercise] Python Loops Coding Exercise.zip

260 B

04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [exercise_info] Python Loops Coding Exercise.html

16 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [exercise_solution] Python Loops Coding Exercise.zip

288 B

04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).en_US.srt

40 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4

447 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).en_US.srt

31 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4

302 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.en_US.srt

35 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4

280 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.en_US.srt

24 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4

294 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/041 Understanding Partial Derivatives and How to use SymPy.en_US.srt

19 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/041 Understanding Partial Derivatives and How to use SymPy.mp4

193 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/042 Implementing Batch Gradient Descent with SymPy.en_US.srt

12 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/042 Implementing Batch Gradient Descent with SymPy.mp4

118 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/043 [Python] - Loops and Performance Considerations.en_US.srt

17 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/043 [Python] - Loops and Performance Considerations.mp4

206 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/044 Reshaping and Slicing N-Dimensional Arrays.en_US.srt

21 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/044 Reshaping and Slicing N-Dimensional Arrays.mp4

168 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/045 Concatenating Numpy Arrays.en_US.srt

8.3 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/045 Concatenating Numpy Arrays.mp4

85 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/046 Introduction to the Mean Squared Error (MSE).en_US.srt

12 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/046 Introduction to the Mean Squared Error (MSE).mp4

75 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/047 Transposing and Reshaping Arrays.en_US.srt

12 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/047 Transposing and Reshaping Arrays.mp4

102 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/048 Implementing a MSE Cost Function.en_US.srt

12 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/048 Implementing a MSE Cost Function.mp4

98 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/049 Understanding Nested Loops and Plotting the MSE Function (Part 1).en_US.srt

13 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/049 Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4

83 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/050 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).en_US.srt

16 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/050 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4

69 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/051 Running Gradient Descent with a MSE Cost Function.en_US.srt

20 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/051 Running Gradient Descent with a MSE Cost Function.mp4

130 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/052 Visualising the Optimisation on a 3D Surface.en_US.srt

9.9 kB

04 Introduction to Optimisation and the Gradient Descent Algorithm/052 Visualising the Optimisation on a 3D Surface.mp4

88 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/053 03-Gradient-Descent.ipynb.zip

1.1 MB

04 Introduction to Optimisation and the Gradient Descent Algorithm/053 Download the Complete Notebook Here.html

727 B

04 Introduction to Optimisation and the Gradient Descent Algorithm/054 Any Feedback on this Section_.html

1005 B

05 Predict House Prices with Multivariable Linear Regression/055 Course-Resources.txt

62 B

05 Predict House Prices with Multivariable Linear Regression/055 Defining the Problem.en_US.srt

6.0 kB

05 Predict House Prices with Multivariable Linear Regression/055 Defining the Problem.mp4

58 MB

05 Predict House Prices with Multivariable Linear Regression/056 Gathering the Boston House Price Data.en_US.srt

8.0 kB

05 Predict House Prices with Multivariable Linear Regression/056 Gathering the Boston House Price Data.mp4

91 MB

05 Predict House Prices with Multivariable Linear Regression/057 Clean and Explore the Data (Part 1)_ Understand the Nature of the Dataset.en_US.srt

14 kB

05 Predict House Prices with Multivariable Linear Regression/057 Clean and Explore the Data (Part 1)_ Understand the Nature of the Dataset.mp4

99 MB

05 Predict House Prices with Multivariable Linear Regression/058 Clean and Explore the Data (Part 2)_ Find Missing Values.en_US.srt

17 kB

05 Predict House Prices with Multivariable Linear Regression/058 Clean and Explore the Data (Part 2)_ Find Missing Values.mp4

208 MB

05 Predict House Prices with Multivariable Linear Regression/059 Visualising Data (Part 1)_ Historams, Distributions & Outliers.en_US.srt

13 kB

05 Predict House Prices with Multivariable Linear Regression/059 Visualising Data (Part 1)_ Historams, Distributions & Outliers.mp4

72 MB

05 Predict House Prices with Multivariable Linear Regression/060 Visualising Data (Part 2)_ Seaborn and Probability Density Functions.en_US.srt

8.3 kB

05 Predict House Prices with Multivariable Linear Regression/060 Visualising Data (Part 2)_ Seaborn and Probability Density Functions.mp4

66 MB

05 Predict House Prices with Multivariable Linear Regression/061 Working with Index Data, Pandas Series, and Dummy Variables.en_US.srt

19 kB

05 Predict House Prices with Multivariable Linear Regression/061 Working with Index Data, Pandas Series, and Dummy Variables.mp4

196 MB

05 Predict House Prices with Multivariable Linear Regression/062 Understanding Descriptive Statistics_ the Mean vs the Median.en_US.srt

11 kB

05 Predict House Prices with Multivariable Linear Regression/062 Understanding Descriptive Statistics_ the Mean vs the Median.mp4

72 MB

05 Predict House Prices with Multivariable Linear Regression/063 Introduction to Correlation_ Understanding Strength & Direction.en_US.srt

7.8 kB

05 Predict House Prices with Multivariable Linear Regression/063 Introduction to Correlation_ Understanding Strength & Direction.mp4

20 MB

05 Predict House Prices with Multivariable Linear Regression/064 Calculating Correlations and the Problem posed by Multicollinearity.en_US.srt

16 kB

05 Predict House Prices with Multivariable Linear Regression/064 Calculating Correlations and the Problem posed by Multicollinearity.mp4

155 MB

05 Predict House Prices with Multivariable Linear Regression/065 Visualising Correlations with a Heatmap.en_US.srt

22 kB

05 Predict House Prices with Multivariable Linear Regression/065 Visualising Correlations with a Heatmap.mp4

192 MB

05 Predict House Prices with Multivariable Linear Regression/066 Techniques to Style Scatter Plots.en_US.srt

19 kB

05 Predict House Prices with Multivariable Linear Regression/066 Techniques to Style Scatter Plots.mp4

150 MB

05 Predict House Prices with Multivariable Linear Regression/067 A Note for the Next Lesson.html

961 B

05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.en_US.srt

26 kB

05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4

334 MB

05 Predict House Prices with Multivariable Linear Regression/069 Understanding Multivariable Regression.en_US.srt

7.0 kB

05 Predict House Prices with Multivariable Linear Regression/069 Understanding Multivariable Regression.mp4

62 MB

05 Predict House Prices with Multivariable Linear Regression/070 How to Shuffle and Split Training & Testing Data.en_US.srt

11 kB

05 Predict House Prices with Multivariable Linear Regression/070 How to Shuffle and Split Training & Testing Data.mp4

83 MB

05 Predict House Prices with Multivariable Linear Regression/071 Running a Multivariable Regression.en_US.srt

9.1 kB

05 Predict House Prices with Multivariable Linear Regression/071 Running a Multivariable Regression.mp4

74 MB

05 Predict House Prices with Multivariable Linear Regression/072 How to Calculate the Model Fit with R-Squared.en_US.srt

4.1 kB

05 Predict House Prices with Multivariable Linear Regression/072 How to Calculate the Model Fit with R-Squared.mp4

39 MB

05 Predict House Prices with Multivariable Linear Regression/073 Introduction to Model Evaluation.en_US.srt

3.5 kB

05 Predict House Prices with Multivariable Linear Regression/073 Introduction to Model Evaluation.mp4

12 MB

05 Predict House Prices with Multivariable Linear Regression/074 Improving the Model by Transforming the Data.en_US.srt

20 kB

05 Predict House Prices with Multivariable Linear Regression/074 Improving the Model by Transforming the Data.mp4

142 MB

05 Predict House Prices with Multivariable Linear Regression/075 How to Interpret Coefficients using p-Values and Statistical Significance.en_US.srt

10 kB

05 Predict House Prices with Multivariable Linear Regression/075 How to Interpret Coefficients using p-Values and Statistical Significance.mp4

89 MB

05 Predict House Prices with Multivariable Linear Regression/076 Understanding VIF & Testing for Multicollinearity.en_US.srt

24 kB

05 Predict House Prices with Multivariable Linear Regression/076 Understanding VIF & Testing for Multicollinearity.mp4

165 MB

05 Predict House Prices with Multivariable Linear Regression/077 Model Simplification & Baysian Information Criterion.en_US.srt

21 kB

05 Predict House Prices with Multivariable Linear Regression/077 Model Simplification & Baysian Information Criterion.mp4

230 MB

05 Predict House Prices with Multivariable Linear Regression/078 How to Analyse and Plot Regression Residuals.en_US.srt

14 kB

05 Predict House Prices with Multivariable Linear Regression/078 How to Analyse and Plot Regression Residuals.mp4

47 MB

05 Predict House Prices with Multivariable Linear Regression/079 Residual Analysis (Part 1)_ Predicted vs Actual Values.en_US.srt

17 kB

05 Predict House Prices with Multivariable Linear Regression/079 Residual Analysis (Part 1)_ Predicted vs Actual Values.mp4

146 MB

05 Predict House Prices with Multivariable Linear Regression/080 Residual Analysis (Part 2)_ Graphing and Comparing Regression Residuals.en_US.srt

21 kB

05 Predict House Prices with Multivariable Linear Regression/080 Residual Analysis (Part 2)_ Graphing and Comparing Regression Residuals.mp4

178 MB

05 Predict House Prices with Multivariable Linear Regression/081 Making Predictions (Part 1)_ MSE & R-Squared.en_US.srt

22 kB

05 Predict House Prices with Multivariable Linear Regression/081 Making Predictions (Part 1)_ MSE & R-Squared.mp4

218 MB

05 Predict House Prices with Multivariable Linear Regression/082 Making Predictions (Part 2)_ Standard Deviation, RMSE, and Prediction Intervals.en_US.srt

14 kB

05 Predict House Prices with Multivariable Linear Regression/082 Making Predictions (Part 2)_ Standard Deviation, RMSE, and Prediction Intervals.mp4

116 MB

05 Predict House Prices with Multivariable Linear Regression/083 Build a Valuation Tool (Part 1)_ Working with Pandas Series & Numpy ndarrays.en_US.srt

19 kB

05 Predict House Prices with Multivariable Linear Regression/083 Build a Valuation Tool (Part 1)_ Working with Pandas Series & Numpy ndarrays.mp4

198 MB

05 Predict House Prices with Multivariable Linear Regression/084 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).en_US.srt

20 kB

05 Predict House Prices with Multivariable Linear Regression/084 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4

160 MB

05 Predict House Prices with Multivariable Linear Regression/085 [exercise] Python Conditional Statement Coding Exercise.zip

167 B

05 Predict House Prices with Multivariable Linear Regression/085 [exercise_info] Python Conditional Statement Coding Exercise.html

2.5 kB

05 Predict House Prices with Multivariable Linear Regression/085 [exercise_solution] Python Conditional Statement Coding Exercise.zip

200 B

05 Predict House Prices with Multivariable Linear Regression/085 Build a Valuation Tool (Part 3)_ Docstrings & Creating your own Python Module.en_US.srt

26 kB

05 Predict House Prices with Multivariable Linear Regression/085 Build a Valuation Tool (Part 3)_ Docstrings & Creating your own Python Module.mp4

168 MB

05 Predict House Prices with Multivariable Linear Regression/086 04-Multivariable-Regression.ipynb.zip

3.5 MB

05 Predict House Prices with Multivariable Linear Regression/086 04-Valuation-Tool.ipynb.zip

2.9 kB

05 Predict House Prices with Multivariable Linear Regression/086 boston-valuation.py

3.1 kB

05 Predict House Prices with Multivariable Linear Regression/086 Download the Complete Notebook Here.html

727 B

05 Predict House Prices with Multivariable Linear Regression/087 Any Feedback on this Section_.html

997 B

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 Course-Resources.txt

62 B

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 How to Translate a Business Problem into a Machine Learning Problem.en_US.srt

9.0 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 How to Translate a Business Problem into a Machine Learning Problem.mp4

57 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 Gathering Email Data and Working with Archives & Text Editors.en_US.srt

13 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 Gathering Email Data and Working with Archives & Text Editors.mp4

187 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 SpamData.zip

21 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/090 How to Add the Lesson Resources to the Project.en_US.srt

4.5 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/090 How to Add the Lesson Resources to the Project.mp4

35 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/091 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.en_US.srt

5.7 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/091 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4

57 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/092 Basic Probability.en_US.srt

4.9 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/092 Basic Probability.mp4

16 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/093 Joint & Conditional Probability.en_US.srt

18 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/093 Joint & Conditional Probability.mp4

169 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/094 Bayes Theorem.en_US.srt

14 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/094 Bayes Theorem.mp4

94 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/095 Reading Files (Part 1)_ Absolute Paths and Relative Paths.en_US.srt

11 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/095 Reading Files (Part 1)_ Absolute Paths and Relative Paths.mp4

71 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/096 Reading Files (Part 2)_ Stream Objects and Email Structure.en_US.srt

14 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/096 Reading Files (Part 2)_ Stream Objects and Email Structure.mp4

167 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/097 Extracting the Text in the Email Body.en_US.srt

5.5 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/097 Extracting the Text in the Email Body.mp4

55 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/098 [Python] - Generator Functions & the yield Keyword.en_US.srt

21 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/098 [Python] - Generator Functions & the yield Keyword.mp4

198 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/099 Create a Pandas DataFrame of Email Bodies.en_US.srt

6.7 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/099 Create a Pandas DataFrame of Email Bodies.mp4

68 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/100 Cleaning Data (Part 1)_ Check for Empty Emails & Null Entries.en_US.srt

16 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/100 Cleaning Data (Part 1)_ Check for Empty Emails & Null Entries.mp4

192 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/101 Cleaning Data (Part 2)_ Working with a DataFrame Index.en_US.srt

8.5 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/101 Cleaning Data (Part 2)_ Working with a DataFrame Index.mp4

85 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/102 Saving a JSON File with Pandas.en_US.srt

6.4 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/102 Saving a JSON File with Pandas.mp4

81 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/103 Data Visualisation (Part 1)_ Pie Charts.en_US.srt

15 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/103 Data Visualisation (Part 1)_ Pie Charts.mp4

131 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/104 Data Visualisation (Part 2)_ Donut Charts.en_US.srt

8.8 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/104 Data Visualisation (Part 2)_ Donut Charts.mp4

73 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/105 Introduction to Natural Language Processing (NLP).en_US.srt

7.6 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/105 Introduction to Natural Language Processing (NLP).mp4

58 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/106 Tokenizing, Removing Stop Words and the Python Set Data Structure.en_US.srt

18 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/106 Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4

138 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/107 Word Stemming & Removing Punctuation.en_US.srt

9.9 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/107 Word Stemming & Removing Punctuation.mp4

84 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/108 Removing HTML tags with BeautifulSoup.en_US.srt

10 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/108 Removing HTML tags with BeautifulSoup.mp4

168 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/109 Creating a Function for Text Processing.en_US.srt

8.0 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/109 Creating a Function for Text Processing.mp4

45 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/110 A Note for the Next Lesson.html

961 B

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/111 Advanced Subsetting on DataFrames_ the apply() Function.en_US.srt

12 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/111 Advanced Subsetting on DataFrames_ the apply() Function.mp4

98 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/112 [Python] - Logical Operators to Create Subsets and Indices.en_US.srt

15 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/112 [Python] - Logical Operators to Create Subsets and Indices.mp4

101 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/113 Word Clouds & How to install Additional Python Packages.en_US.srt

11 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/113 Word Clouds & How to install Additional Python Packages.mp4

92 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/114 Creating your First Word Cloud.en_US.srt

13 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/114 Creating your First Word Cloud.mp4

153 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/115 Styling the Word Cloud with a Mask.en_US.srt

15 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/115 Styling the Word Cloud with a Mask.mp4

185 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/116 Solving the Hamlet Challenge.en_US.srt

5.5 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/116 Solving the Hamlet Challenge.mp4

93 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/117 Styling Word Clouds with Custom Fonts.en_US.srt

14 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/117 Styling Word Clouds with Custom Fonts.mp4

184 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/118 Create the Vocabulary for the Spam Classifier.en_US.srt

16 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/118 Create the Vocabulary for the Spam Classifier.mp4

124 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/119 Coding Challenge_ Check for Membership in a Collection.en_US.srt

5.6 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/119 Coding Challenge_ Check for Membership in a Collection.mp4

20 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/120 Coding Challenge_ Find the Longest Email.en_US.srt

7.0 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/120 Coding Challenge_ Find the Longest Email.mp4

77 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/121 Sparse Matrix (Part 1)_ Split the Training and Testing Data.en_US.srt

14 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/121 Sparse Matrix (Part 1)_ Split the Training and Testing Data.mp4

120 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/122 Sparse Matrix (Part 2)_ Data Munging with Nested Loops.en_US.srt

21 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/122 Sparse Matrix (Part 2)_ Data Munging with Nested Loops.mp4

160 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/123 Sparse Matrix (Part 3)_ Using groupby() and Saving .txt Files.en_US.srt

11 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/123 Sparse Matrix (Part 3)_ Using groupby() and Saving .txt Files.mp4

111 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/124 Coding Challenge Solution_ Preparing the Test Data.en_US.srt

4.2 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/124 Coding Challenge Solution_ Preparing the Test Data.mp4

38 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/125 Checkpoint_ Understanding the Data.en_US.srt

13 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/125 Checkpoint_ Understanding the Data.mp4

134 MB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/126 06-Bayes-Classifier-Pre-Processing.ipynb.zip

978 kB

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/126 Download the Complete Notebook Here.html

727 B

06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/127 Any Feedback on this Section_.html

1004 B

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/128 Course-Resources.txt

62 B

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/128 Setting up the Notebook and Understanding Delimiters in a Dataset.en_US.srt

11 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/128 Setting up the Notebook and Understanding Delimiters in a Dataset.mp4

99 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/128 SpamData.zip

22 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/129 Create a Full Matrix.en_US.srt

21 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/129 Create a Full Matrix.mp4

200 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/130 Count the Tokens to Train the Naive Bayes Model.en_US.srt

18 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/130 Count the Tokens to Train the Naive Bayes Model.mp4

111 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/131 Sum the Tokens across the Spam and Ham Subsets.en_US.srt

7.5 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/131 Sum the Tokens across the Spam and Ham Subsets.mp4

40 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/132 Calculate the Token Probabilities and Save the Trained Model.en_US.srt

9.1 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/132 Calculate the Token Probabilities and Save the Trained Model.mp4

70 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/133 Coding Challenge_ Prepare the Test Data.en_US.srt

4.9 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/133 Coding Challenge_ Prepare the Test Data.mp4

54 MB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/134 07-Bayes-Classifier-Training.ipynb.zip

5.8 kB

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/134 Download the Complete Notebook Here.html

727 B

07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2/135 Any Feedback on this Section_.html

1012 B

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/136 Course-Resources.txt

62 B

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/136 Set up the Testing Notebook.en_US.srt

3.7 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/136 Set up the Testing Notebook.mp4

37 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/136 SpamData.zip

23 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/137 Joint Conditional Probability (Part 1)_ Dot Product.en_US.srt

12 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/137 Joint Conditional Probability (Part 1)_ Dot Product.mp4

85 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/138 Joint Conditional Probablity (Part 2)_ Priors.en_US.srt

10 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/138 Joint Conditional Probablity (Part 2)_ Priors.mp4

91 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/139 Making Predictions_ Comparing Joint Probabilities.en_US.srt

9.3 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/139 Making Predictions_ Comparing Joint Probabilities.mp4

68 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/140 The Accuracy Metric.en_US.srt

7.4 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/140 The Accuracy Metric.mp4

46 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.en_US.srt

32 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4

277 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/142 False Positive vs False Negatives.en_US.srt

12 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/142 False Positive vs False Negatives.mp4

72 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/143 The Recall Metric.en_US.srt

6.3 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/143 The Recall Metric.mp4

32 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/144 The Precision Metric.en_US.srt

9.1 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/144 The Precision Metric.mp4

62 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/145 The F-score or F1 Metric.en_US.srt

4.3 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/145 The F-score or F1 Metric.mp4

29 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.en_US.srt

32 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4

270 MB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/147 07-Bayes-Classifier-Testing-Inference-Evaluation.ipynb.zip

243 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/147 08-Naive-Bayes-with-scikit-learn.ipynb.zip

13 kB

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/147 Download the Complete Notebook Here.html

727 B

08 Test and Evaluate a Naive Bayes Classifier_ Part 3/148 Any Feedback on this Section_.html

994 B

09 Introduction to Neural Networks and How to Use Pre-Trained Models/149 Course-Resources.txt

62 B

09 Introduction to Neural Networks and How to Use Pre-Trained Models/149 The Human Brain and the Inspiration for Artificial Neural Networks.en_US.srt

10 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/149 The Human Brain and the Inspiration for Artificial Neural Networks.mp4

60 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/150 Layers, Feature Generation and Learning.en_US.srt

27 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/150 Layers, Feature Generation and Learning.mp4

237 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/151 Costs and Disadvantages of Neural Networks.en_US.srt

18 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/151 Costs and Disadvantages of Neural Networks.mp4

146 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/152 Preprocessing Image Data and How RGB Works.en_US.srt

16 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/152 Preprocessing Image Data and How RGB Works.mp4

130 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/152 TF-Keras-Classification-Images.zip

501 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/153 Importing Keras Models and the Tensorflow Graph.en_US.srt

11 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/153 Importing Keras Models and the Tensorflow Graph.mp4

73 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/154 Making Predictions using InceptionResNet.en_US.srt

18 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/154 Making Predictions using InceptionResNet.mp4

181 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/155 Coding Challenge Solution_ Using other Keras Models.en_US.srt

12 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/155 Coding Challenge Solution_ Using other Keras Models.mp4

155 MB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/156 09-Neural-Nets-Pretrained-Image-Classification.ipynb.zip

572 kB

09 Introduction to Neural Networks and How to Use Pre-Trained Models/156 Download the Complete Notebook Here.html

749 B

09 Introduction to Neural Networks and How to Use Pre-Trained Models/157 Any Feedback on this Section_.html

1011 B

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/158 Course-Resources.txt

62 B

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/158 Solving a Business Problem with Image Classification.en_US.srt

4.8 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/158 Solving a Business Problem with Image Classification.mp4

38 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/159 Installing Tensorflow and Keras for Jupyter.en_US.srt

6.2 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/159 Installing Tensorflow and Keras for Jupyter.mp4

58 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/160 Gathering the CIFAR 10 Dataset.en_US.srt

5.9 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/160 Gathering the CIFAR 10 Dataset.mp4

35 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/161 Exploring the CIFAR Data.en_US.srt

18 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/161 Exploring the CIFAR Data.mp4

151 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/162 Pre-processing_ Scaling Inputs and Creating a Validation Dataset.en_US.srt

19 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/162 Pre-processing_ Scaling Inputs and Creating a Validation Dataset.mp4

104 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/163 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.en_US.srt

18 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/163 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4

140 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/164 Interacting with the Operating System and the Python Try-Catch Block.en_US.srt

23 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/164 Interacting with the Operating System and the Python Try-Catch Block.mp4

194 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/165 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.en_US.srt

14 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/165 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4

146 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.en_US.srt

27 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4

287 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.en_US.srt

32 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4

300 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/168 Model Evaluation and the Confusion Matrix.en_US.srt

10 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/168 Model Evaluation and the Confusion Matrix.mp4

82 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.en_US.srt

39 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4

366 MB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/170 10-Neural-Nets-Keras-CIFAR10-Classification.ipynb.zip

120 kB

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/170 Download the Complete Notebook Here.html

727 B

10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/171 Any Feedback on this Section_.html

1006 B

11 Use Tensorflow to Classify Handwritten Digits/172 Course-Resources.txt

62 B

11 Use Tensorflow to Classify Handwritten Digits/172 What's coming up_.en_US.srt

2.4 kB

11 Use Tensorflow to Classify Handwritten Digits/172 What's coming up_.mp4

7.6 MB

11 Use Tensorflow to Classify Handwritten Digits/173 Getting the Data and Loading it into Numpy Arrays.en_US.srt

8.7 kB

11 Use Tensorflow to Classify Handwritten Digits/173 Getting the Data and Loading it into Numpy Arrays.mp4

75 MB

11 Use Tensorflow to Classify Handwritten Digits/173 MNIST.zip

15 MB

11 Use Tensorflow to Classify Handwritten Digits/174 Data Exploration and Understanding the Structure of the Input Data.en_US.srt

6.3 kB

11 Use Tensorflow to Classify Handwritten Digits/174 Data Exploration and Understanding the Structure of the Input Data.mp4

36 MB

11 Use Tensorflow to Classify Handwritten Digits/175 Data Preprocessing_ One-Hot Encoding and Creating the Validation Dataset.en_US.srt

12 kB

11 Use Tensorflow to Classify Handwritten Digits/175 Data Preprocessing_ One-Hot Encoding and Creating the Validation Dataset.mp4

88 MB

11 Use Tensorflow to Classify Handwritten Digits/176 What is a Tensor_.en_US.srt

8.7 kB

11 Use Tensorflow to Classify Handwritten Digits/176 What is a Tensor_.mp4

70 MB

11 Use Tensorflow to Classify Handwritten Digits/177 Creating Tensors and Setting up the Neural Network Architecture.en_US.srt

28 kB

11 Use Tensorflow to Classify Handwritten Digits/177 Creating Tensors and Setting up the Neural Network Architecture.mp4

205 MB

11 Use Tensorflow to Classify Handwritten Digits/178 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.en_US.srt

14 kB

11 Use Tensorflow to Classify Handwritten Digits/178 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4

85 MB

11 Use Tensorflow to Classify Handwritten Digits/179 TensorFlow Sessions and Batching Data.en_US.srt

20 kB

11 Use Tensorflow to Classify Handwritten Digits/179 TensorFlow Sessions and Batching Data.mp4

129 MB

11 Use Tensorflow to Classify Handwritten Digits/180 Tensorboard Summaries and the Filewriter.en_US.srt

22 kB

11 Use Tensorflow to Classify Handwritten Digits/180 Tensorboard Summaries and the Filewriter.mp4

186 MB

11 Use Tensorflow to Classify Handwritten Digits/181 Understanding the Tensorflow Graph_ Nodes and Edges.en_US.srt

20 kB

11 Use Tensorflow to Classify Handwritten Digits/181 Understanding the Tensorflow Graph_ Nodes and Edges.mp4

167 MB

11 Use Tensorflow to Classify Handwritten Digits/182 Name Scoping and Image Visualisation in Tensorboard.en_US.srt

25 kB

11 Use Tensorflow to Classify Handwritten Digits/182 Name Scoping and Image Visualisation in Tensorboard.mp4

89 MB

11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.en_US.srt

29 kB

11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4

336 MB

11 Use Tensorflow to Classify Handwritten Digits/184 Prediction and Model Evaluation.en_US.srt

18 kB

11 Use Tensorflow to Classify Handwritten Digits/184 Prediction and Model Evaluation.mp4

162 MB

11 Use Tensorflow to Classify Handwritten Digits/185 11-Neural-Networks-TF-Handwriting-Recognition.ipynb.zip

6.6 kB

11 Use Tensorflow to Classify Handwritten Digits/185 Download the Complete Notebook Here.html

727 B

11 Use Tensorflow to Classify Handwritten Digits/186 Any Feedback on this Section_.html

984 B

12 Serving a Tensorflow Model through a Website/187 What you'll make.en_US.srt

9.4 kB

12 Serving a Tensorflow Model through a Website/187 What you'll make.mp4

64 MB

12 Serving a Tensorflow Model through a Website/188 11-Neural-Networks-TF-Handwriting-Recognition.ipynb.zip

6.4 kB

12 Serving a Tensorflow Model through a Website/188 Saving Tensorflow Models.en_US.srt

20 kB

12 Serving a Tensorflow Model through a Website/188 Saving Tensorflow Models.mp4

192 MB

12 Serving a Tensorflow Model through a Website/189 12-TF-SavedModel-Export-Completed.ipynb.zip

6.1 kB

12 Serving a Tensorflow Model through a Website/189 Loading a SavedModel.en_US.srt

25 kB

12 Serving a Tensorflow Model through a Website/189 Loading a SavedModel.mp4

145 MB

12 Serving a Tensorflow Model through a Website/189 MNIST-Model-Load-Files.zip

2.8 MB

12 Serving a Tensorflow Model through a Website/190 Converting a Model to Tensorflow.js.en_US.srt

20 kB

12 Serving a Tensorflow Model through a Website/190 Converting a Model to Tensorflow.js.mp4

172 MB

12 Serving a Tensorflow Model through a Website/190 TFJS.zip

1.5 MB

12 Serving a Tensorflow Model through a Website/191 Introducing the Website Project and Tooling.en_US.srt

17 kB

12 Serving a Tensorflow Model through a Website/191 Introducing the Website Project and Tooling.mp4

125 MB

12 Serving a Tensorflow Model through a Website/191 math-garden-stub.zip

44 kB

12 Serving a Tensorflow Model through a Website/192 HTML and CSS Styling.en_US.srt

36 kB

12 Serving a Tensorflow Model through a Website/192 HTML and CSS Styling.mp4

245 MB

12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.en_US.srt

36 kB

12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4

321 MB

12 Serving a Tensorflow Model through a Website/193 x-test0-ylabel7.txt

4.6 kB

12 Serving a Tensorflow Model through a Website/193 x-test1-ylabel2.txt

4.6 kB

12 Serving a Tensorflow Model through a Website/193 x-test2-ylabel1.txt

4.6 kB

12 Serving a Tensorflow Model through a Website/194 Adding a Favicon.en_US.srt

7.1 kB

12 Serving a Tensorflow Model through a Website/194 Adding a Favicon.mp4

42 MB

12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.en_US.srt

38 kB

12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4

312 MB

12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.en_US.srt

36 kB

12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4

291 MB

12 Serving a Tensorflow Model through a Website/197 Data Pre-Processing for Tensorflow.js.en_US.srt

12 kB

12 Serving a Tensorflow Model through a Website/197 Data Pre-Processing for Tensorflow.js.mp4

42 MB

12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.en_US.srt

37 kB

12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4

432 MB

12 Serving a Tensorflow Model through a Website/198 math-garden-stub-12.12-checkpoint.zip

4.1 MB

12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.en_US.srt

26 kB

12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4

286 MB

12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.en_US.srt

34 kB

12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4

406 MB

12 Serving a Tensorflow Model through a Website/201 Making a Prediction from a Digit drawn on the HTML Canvas.en_US.srt

16 kB

12 Serving a Tensorflow Model through a Website/201 Making a Prediction from a Digit drawn on the HTML Canvas.mp4

182 MB

12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.en_US.srt

37 kB

12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4

286 MB

12 Serving a Tensorflow Model through a Website/202 math-garden-stub-complete.zip

4.1 MB

12 Serving a Tensorflow Model through a Website/203 Publish and Share your Website!.en_US.srt

9.1 kB

12 Serving a Tensorflow Model through a Website/203 Publish and Share your Website!.mp4

60 MB

12 Serving a Tensorflow Model through a Website/204 Any Feedback on this Section_.html

985 B

13 Next Steps/205 Where next_.html

4.6 kB

13 Next Steps/206 What Modules Do You Want to See_.html

916 B

13 Next Steps/207 Stay in Touch!.html

1.5 kB