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[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

Magnet Download Download Torrent
File Name
Size
0. Websites you may like/[CourseClub.ME].url
122 B
0. Websites you may like/[FCS Forum].url
133 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
01. Introduction to the Course/01. What is Machine Learning.mp4
45 MB
01. Introduction to the Course/01. What is Machine Learning.srt
6.9 kB
01. Introduction to the Course/02. What is Data Science.mp4
43 MB
01. Introduction to the Course/02. What is Data Science.srt
5.7 kB
01. Introduction to the Course/03. Download the Syllabus.html
1.0 kB
01. Introduction to the Course/03.1 ML Data Science Syllabus.pdf
104 kB
01. Introduction to the Course/04. Top Tips for Succeeding on this Course.html
2.1 kB
01. Introduction to the Course/04.1 App Brewery Cornell Notes Template.html
141 B
01. Introduction to the Course/05. Course Resources List.html
1.1 kB
02. Predict Movie Box Office Revenue with Linear Regression/01. Introduction to Linear Regression & Specifying the Problem.mp4
30 MB
02. Predict Movie Box Office Revenue with Linear Regression/01. Introduction to Linear Regression & Specifying the Problem.srt
8.7 kB
02. Predict Movie Box Office Revenue with Linear Regression/01.1 Course Resources.html
122 B
02. Predict Movie Box Office Revenue with Linear Regression/02. Gather & Clean the Data.mp4
97 MB
02. Predict Movie Box Office Revenue with Linear Regression/02. Gather & Clean the Data.srt
14 kB
02. Predict Movie Box Office Revenue with Linear Regression/02.1 The-Numbers Movie Budgets.html
102 B
02. Predict Movie Box Office Revenue with Linear Regression/02.2 cost_revenue_dirty.csv
375 kB
02. Predict Movie Box Office Revenue with Linear Regression/03. Explore & Visualise the Data with Python.mp4
148 MB
02. Predict Movie Box Office Revenue with Linear Regression/03. Explore & Visualise the Data with Python.srt
31 kB
02. Predict Movie Box Office Revenue with Linear Regression/03.1 Try Jupyter in your Browser.html
85 B
02. Predict Movie Box Office Revenue with Linear Regression/03.2 cost_revenue_clean.csv
91 kB
02. Predict Movie Box Office Revenue with Linear Regression/04. The Intuition behind the Linear Regression Model.mp4
30 MB
02. Predict Movie Box Office Revenue with Linear Regression/04. The Intuition behind the Linear Regression Model.srt
11 kB
02. Predict Movie Box Office Revenue with Linear Regression/04.1 01 Linear Regression (checkpoint).ipynb.zip
38 kB
02. Predict Movie Box Office Revenue with Linear Regression/05. Analyse and Evaluate the Results.mp4
105 MB
02. Predict Movie Box Office Revenue with Linear Regression/05. Analyse and Evaluate the Results.srt
22 kB
02. Predict Movie Box Office Revenue with Linear Regression/06. Download the Complete Notebook Here.html
242 B
02. Predict Movie Box Office Revenue with Linear Regression/06.1 01 Linear Regression (complete).ipynb.zip
75 kB
02. Predict Movie Box Office Revenue with Linear Regression/07. Join the Student Community.html
730 B
02. Predict Movie Box Office Revenue with Linear Regression/08. Any Feedback on this Section.html
512 B
03. Python Programming for Data Science and Machine Learning/01. Windows Users - Install Anaconda.mp4
50 MB
03. Python Programming for Data Science and Machine Learning/01. Windows Users - Install Anaconda.srt
8.8 kB
03. Python Programming for Data Science and Machine Learning/01.1 Course Resources.html
122 B
03. Python Programming for Data Science and Machine Learning/02. Mac Users - Install Anaconda.mp4
52 MB
03. Python Programming for Data Science and Machine Learning/02. Mac Users - Install Anaconda.srt
8.0 kB
03. Python Programming for Data Science and Machine Learning/02.1 Course Resources.html
122 B
03. Python Programming for Data Science and Machine Learning/03. Does LSD Make You Better at Maths.mp4
42 MB
03. Python Programming for Data Science and Machine Learning/03. Does LSD Make You Better at Maths.srt
7.3 kB
03. Python Programming for Data Science and Machine Learning/04. Download the 12 Rules to Learn to Code.html
1.1 kB
03. Python Programming for Data Science and Machine Learning/04.1 12 Rules to Learn to Code.pdf
2.2 MB
03. Python Programming for Data Science and Machine Learning/05. [Python] - Variables and Types.mp4
71 MB
03. Python Programming for Data Science and Machine Learning/05. [Python] - Variables and Types.srt
16 kB
03. Python Programming for Data Science and Machine Learning/06. Python Variable Coding Exercise.html
156 B
03. Python Programming for Data Science and Machine Learning/07. [Python] - Lists and Arrays.mp4
54 MB
03. Python Programming for Data Science and Machine Learning/07. [Python] - Lists and Arrays.srt
12 kB
03. Python Programming for Data Science and Machine Learning/08. Python Lists Coding Exercise.html
156 B
03. Python Programming for Data Science and Machine Learning/09. [Python & Pandas] - Dataframes and Series.mp4
153 MB
03. Python Programming for Data Science and Machine Learning/09. [Python & Pandas] - Dataframes and Series.srt
28 kB
03. Python Programming for Data Science and Machine Learning/09.1 lsd_math_score_data.csv
155 B
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4
232 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.srt
36 kB
03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp4
42 MB
03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.srt
10 kB
03. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html
156 B
03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4
128 MB
03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.srt
21 kB
03. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html
156 B
03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp4
83 MB
03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.srt
16 kB
03. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html
156 B
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4
157 MB
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.srt
30 kB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4
172 MB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.srt
26 kB
03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4
170 MB
03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.srt
27 kB
03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp4
82 MB
03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.srt
17 kB
03. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html
242 B
03. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip
36 kB
03. Python Programming for Data Science and Machine Learning/22. Any Feedback on this Section.html
513 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/01. What's Coming Up.mp4
21 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/01. What's Coming Up.srt
3.8 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/01.1 Course Resources.html
122 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/02. How a Machine Learns.mp4
23 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/02. How a Machine Learns.srt
7.2 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/03. Introduction to Cost Functions.mp4
66 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/03. Introduction to Cost Functions.srt
9.5 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/04. LaTeX Markdown and Generating Data with Numpy.mp4
90 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/04. LaTeX Markdown and Generating Data with Numpy.srt
17 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/05. Understanding the Power Rule & Creating Charts with Subplots.mp4
90 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/05. Understanding the Power Rule & Creating Charts with Subplots.srt
18 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4
288 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.srt
44 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/07. Python Loops Coding Exercise.html
156 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
291 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt
43 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
219 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).srt
34 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4
237 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.srt
38 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4
194 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.srt
26 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4
133 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.srt
20 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4
87 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.srt
13 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4
131 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.srt
18 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.mp4
141 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.srt
23 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.mp4
71 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.srt
8.9 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).mp4
65 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).srt
13 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.mp4
87 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.srt
14 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.mp4
81 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.srt
14 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4
73 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).srt
14 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4
125 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).srt
17 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.mp4
111 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.srt
22 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.mp4
75 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.srt
11 kB
04. Introduction to Optimisation and the Gradient Descent Algorithm/24. Download the Complete Notebook Here.html
242 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/24.1 03 Gradient Descent.ipynb.zip
1.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/25. Any Feedback on this Section.html
520 B
05. Predict House Prices with Multivariable Linear Regression/01. Defining the Problem.mp4
40 MB
05. Predict House Prices with Multivariable Linear Regression/01. Defining the Problem.srt
6.5 kB
05. Predict House Prices with Multivariable Linear Regression/01.1 Course Resources.html
122 B
05. Predict House Prices with Multivariable Linear Regression/02. Gathering the Boston House Price Data.mp4
56 MB
05. Predict House Prices with Multivariable Linear Regression/02. Gathering the Boston House Price Data.srt
8.7 kB
05. Predict House Prices with Multivariable Linear Regression/03. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4
87 MB
05. Predict House Prices with Multivariable Linear Regression/03. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.srt
16 kB
05. Predict House Prices with Multivariable Linear Regression/04. Clean and Explore the Data (Part 2) Find Missing Values.mp4
135 MB
05. Predict House Prices with Multivariable Linear Regression/04. Clean and Explore the Data (Part 2) Find Missing Values.srt
19 kB
05. Predict House Prices with Multivariable Linear Regression/05. Visualising Data (Part 1) Historams, Distributions & Outliers.mp4
64 MB
05. Predict House Prices with Multivariable Linear Regression/05. Visualising Data (Part 1) Historams, Distributions & Outliers.srt
14 kB
05. Predict House Prices with Multivariable Linear Regression/06. Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4
57 MB
05. Predict House Prices with Multivariable Linear Regression/06. Visualising Data (Part 2) Seaborn and Probability Density Functions.srt
9.0 kB
05. Predict House Prices with Multivariable Linear Regression/07. Working with Index Data, Pandas Series, and Dummy Variables.mp4
141 MB
05. Predict House Prices with Multivariable Linear Regression/07. Working with Index Data, Pandas Series, and Dummy Variables.srt
21 kB
05. Predict House Prices with Multivariable Linear Regression/08. Understanding Descriptive Statistics the Mean vs the Median.mp4
62 MB
05. Predict House Prices with Multivariable Linear Regression/08. Understanding Descriptive Statistics the Mean vs the Median.srt
12 kB
05. Predict House Prices with Multivariable Linear Regression/09. Introduction to Correlation Understanding Strength & Direction.mp4
33 MB
05. Predict House Prices with Multivariable Linear Regression/09. Introduction to Correlation Understanding Strength & Direction.srt
8.4 kB
05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.mp4
111 MB
05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.srt
18 kB
05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4
169 MB
05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.srt
24 kB
05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.mp4
128 MB
05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.srt
21 kB
05. Predict House Prices with Multivariable Linear Regression/13. A Note for the Next Lesson.html
476 B
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
214 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.srt
29 kB
05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.mp4
49 MB
05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.srt
7.5 kB
05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.mp4
64 MB
05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.srt
12 kB
05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.mp4
56 MB
05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.srt
9.8 kB
05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.mp4
32 MB
05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.srt
4.4 kB
05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.mp4
16 MB
05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.srt
3.8 kB
05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.mp4
127 MB
05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.srt
22 kB
05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.mp4
65 MB
05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.srt
11 kB
05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.mp4
144 MB
05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.srt
26 kB
05. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.mp4
150 MB
05. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.srt
23 kB
05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.mp4
64 MB
05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.srt
15 kB
05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.mp4
124 MB
05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.srt
18 kB
05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4
153 MB
05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.srt
23 kB
05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4
153 MB
05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.srt
24 kB
05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4
85 MB
05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.srt
15 kB
05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4
131 MB
05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.srt
21 kB
05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4
134 MB
05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).srt
21 kB
05. Predict House Prices with Multivariable Linear Regression/31. Python Conditional Statement Coding Exercise.html
156 B
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
244 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.srt
28 kB
05. Predict House Prices with Multivariable Linear Regression/33. Download the Complete Notebook Here.html
242 B
05. Predict House Prices with Multivariable Linear Regression/33.1 04 Multivariable Regression.ipynb.zip
3.5 MB
05. Predict House Prices with Multivariable Linear Regression/33.2 04 Valuation Tool.ipynb.zip
2.9 kB
05. Predict House Prices with Multivariable Linear Regression/33.3 boston_valuation.py
3.1 kB
05. Predict House Prices with Multivariable Linear Regression/34. Any Feedback on this Section.html
512 B
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01. How to Translate a Business Problem into a Machine Learning Problem.mp4
42 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01. How to Translate a Business Problem into a Machine Learning Problem.srt
9.7 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01.1 Course Resources.html
122 B
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02. Gathering Email Data and Working with Archives & Text Editors.mp4
112 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02. Gathering Email Data and Working with Archives & Text Editors.srt
14 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02.1 SpamData.zip
21 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/03. How to Add the Lesson Resources to the Project.mp4
29 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/03. How to Add the Lesson Resources to the Project.srt
5.0 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/04. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4
33 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/04. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.srt
6.1 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/05. Basic Probability.mp4
28 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/05. Basic Probability.srt
5.3 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/06. Joint & Conditional Probability.mp4
142 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/06. Joint & Conditional Probability.srt
20 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/07. Bayes Theorem.mp4
84 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/07. Bayes Theorem.srt
15 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/08. Reading Files (Part 1) Absolute Paths and Relative Paths.mp4
61 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/08. Reading Files (Part 1) Absolute Paths and Relative Paths.srt
12 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/09. Reading Files (Part 2) Stream Objects and Email Structure.mp4
104 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/09. Reading Files (Part 2) Stream Objects and Email Structure.srt
15 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.mp4
47 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.srt
6.0 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.mp4
133 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.srt
22 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.mp4
49 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.srt
7.2 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4
122 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.srt
18 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.mp4
62 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.srt
9.2 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.mp4
56 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.srt
6.9 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.mp4
91 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.srt
16 kB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.mp4
62 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.srt
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).srt
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/23. A Note for the Next Lesson.html
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.srt
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.mp4
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.srt
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39. Download the Complete Notebook Here.html
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39.1 06 Bayes Classifier - Pre-Processing.ipynb.zip
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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/40. Any Feedback on this Section.html
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01. Setting up the Notebook and Understanding Delimiters in a Dataset.mp4
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01.1 Course Resources.html
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01.2 SpamData.zip
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/02. Create a Full Matrix.mp4
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/03. Count the Tokens to Train the Naive Bayes Model.mp4
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/04. Sum the Tokens across the Spam and Ham Subsets.mp4
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/04. Sum the Tokens across the Spam and Ham Subsets.srt
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/05. Calculate the Token Probabilities and Save the Trained Model.mp4
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/06. Coding Challenge Prepare the Test Data.mp4
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/07. Download the Complete Notebook Here.html
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/07.1 07 Bayes Classifier - Training.ipynb.zip
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07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/08. Any Feedback on this Section.html
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08. Test and Evaluate a Naive Bayes Classifier Part 3/01. Set up the Testing Notebook.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/01.1 SpamData.zip
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08. Test and Evaluate a Naive Bayes Classifier Part 3/01.2 Course Resources.html
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08. Test and Evaluate a Naive Bayes Classifier Part 3/02. Joint Conditional Probability (Part 1) Dot Product.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/03. Joint Conditional Probablity (Part 2) Priors.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/04. Making Predictions Comparing Joint Probabilities.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/05. The Accuracy Metric.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/07. False Positive vs False Negatives.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/08. The Recall Metric.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/09. The Precision Metric.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4
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08. Test and Evaluate a Naive Bayes Classifier Part 3/12. Download the Complete Notebook Here.html
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08. Test and Evaluate a Naive Bayes Classifier Part 3/12.1 08 Naive Bayes with scikit-learn.ipynb.zip
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08. Test and Evaluate a Naive Bayes Classifier Part 3/12.2 07 Bayes Classifier - Testing, Inference & Evaluation.ipynb.zip
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08. Test and Evaluate a Naive Bayes Classifier Part 3/13. Any Feedback on this Section.html
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/01. The Human Brain and the Inspiration for Artificial Neural Networks.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/01. The Human Brain and the Inspiration for Artificial Neural Networks.srt
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/01.1 Course Resources.html
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/02. Layers, Feature Generation and Learning.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/03. Costs and Disadvantages of Neural Networks.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/04. Preprocessing Image Data and How RGB Works.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/04.1 TF_Keras_Classification_Images.zip
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/05. Importing Keras Models and the Tensorflow Graph.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/06. Making Predictions using InceptionResNet.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/07. Coding Challenge Solution Using other Keras Models.mp4
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/08. Download the Complete Notebook Here.html
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/08.1 09 Neural Nets Pretrained Image Classification.ipynb.zip
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09. Introduction to Neural Networks and How to Use Pre-Trained Models/09. Any Feedback on this Section.html
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/01. Solving a Business Problem with Image Classification.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/01.1 Course Resources.html
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/02. Installing Tensorflow and Keras for Jupyter.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/03. Gathering the CIFAR 10 Dataset.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/04. Exploring the CIFAR Data.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/05. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/06. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/07. Interacting with the Operating System and the Python Try-Catch Block.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/08. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13. Download the Complete Notebook Here.html
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip
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10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/14. Any Feedback on this Section.html
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11. Use Tensorflow to Classify Handwritten Digits/01. What's coming up.mp4
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11. Use Tensorflow to Classify Handwritten Digits/01.1 Course Resources.html
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11. Use Tensorflow to Classify Handwritten Digits/02. Getting the Data and Loading it into Numpy Arrays.mp4
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11. Use Tensorflow to Classify Handwritten Digits/02.1 MNIST.zip
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11. Use Tensorflow to Classify Handwritten Digits/03. Data Exploration and Understanding the Structure of the Input Data.mp4
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11. Use Tensorflow to Classify Handwritten Digits/04. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4
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11. Use Tensorflow to Classify Handwritten Digits/05. What is a Tensor.mp4
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11. Use Tensorflow to Classify Handwritten Digits/06. Creating Tensors and Setting up the Neural Network Architecture.mp4
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11. Use Tensorflow to Classify Handwritten Digits/07. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4
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11. Use Tensorflow to Classify Handwritten Digits/08. TensorFlow Sessions and Batching Data.mp4
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11. Use Tensorflow to Classify Handwritten Digits/09. Tensorboard Summaries and the Filewriter.mp4
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11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.mp4
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11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4
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11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4
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11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.mp4
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11. Use Tensorflow to Classify Handwritten Digits/14. Download the Complete Notebook Here.html
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11. Use Tensorflow to Classify Handwritten Digits/14.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip
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11. Use Tensorflow to Classify Handwritten Digits/15. Any Feedback on this Section.html
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12. Serving a Tensorflow Model through a Website/01. What you'll make.mp4
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12. Serving a Tensorflow Model through a Website/02.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip
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12. Serving a Tensorflow Model through a Website/03.2 12 TF SavedModel Export Completed.ipynb.zip
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12. Serving a Tensorflow Model through a Website/04. Converting a Model to Tensorflow.js.mp4
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12. Serving a Tensorflow Model through a Website/04.1 TFJS.zip
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12. Serving a Tensorflow Model through a Website/06. HTML and CSS Styling.mp4
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12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4
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12. Serving a Tensorflow Model through a Website/07.1 x_test2_ylabel1.txt
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12. Serving a Tensorflow Model through a Website/08. Adding a Favicon.mp4
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12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4
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12. Serving a Tensorflow Model through a Website/12.1 math_garden_stub 12.12 checkpoint.zip
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12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4
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12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.mp4
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12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4
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12. Serving a Tensorflow Model through a Website/16.1 math_garden_stub complete.zip
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12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.mp4
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12. Serving a Tensorflow Model through a Website/18. Any Feedback on this Section.html
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13. Next Steps/01. Where next.html
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13. Next Steps/02. What Modules Do You Want to See.html
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13. Next Steps/03. Stay in Touch!.html
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