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GetFreeCourses.Co-Udemy-2022 Python for Machine Learning & Data Science Masterclass

Magnet Download Download Torrent
File Name
Size
01 - Introduction to Course/001 Welcome to the Course_.html
1.6 kB
01 - Introduction to Course/002 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP_.mp4
7.2 MB
01 - Introduction to Course/002 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP___en.srt
7.2 kB
01 - Introduction to Course/003 Anaconda Python and Jupyter Install and Setup.mp4
84 MB
01 - Introduction to Course/003 Anaconda Python and Jupyter Install and Setup__en.srt
22 kB
01 - Introduction to Course/004 Note on Environment Setup - Please read me_.html
857 B
01 - Introduction to Course/005 Environment Setup.mp4
36 MB
01 - Introduction to Course/005 Environment Setup__en.srt
14 kB
01 - Introduction to Course/28813464-requirements.txt
221 B
01 - Introduction to Course/33985574-UNZIP-FOR-NOTEBOOKS-FINAL.zip
67 MB
01 - Introduction to Course/33985614-UNZIP-FOR-NOTEBOOKS-FINAL.zip
67 MB
01 - Introduction to Course/external-assets-links.txt
132 B
02 - OPTIONAL_ Python Crash Course/001 OPTIONAL_ Python Crash Course.html
472 B
02 - OPTIONAL_ Python Crash Course/002 Python Crash Course - Part One.mp4
30 MB
02 - OPTIONAL_ Python Crash Course/002 Python Crash Course - Part One__en.srt
25 kB
02 - OPTIONAL_ Python Crash Course/003 Python Crash Course - Part Two.mp4
58 MB
02 - OPTIONAL_ Python Crash Course/003 Python Crash Course - Part Two__en.srt
18 kB
02 - OPTIONAL_ Python Crash Course/004 Python Crash Course - Part Three.mp4
32 MB
02 - OPTIONAL_ Python Crash Course/004 Python Crash Course - Part Three__en.srt
17 kB
02 - OPTIONAL_ Python Crash Course/005 Python Crash Course - Exercise Questions.mp4
3.4 MB
02 - OPTIONAL_ Python Crash Course/005 Python Crash Course - Exercise Questions__en.srt
2.5 kB
02 - OPTIONAL_ Python Crash Course/006 Python Crash Course - Exercise Solutions.mp4
49 MB
02 - OPTIONAL_ Python Crash Course/006 Python Crash Course - Exercise Solutions__en.srt
13 kB
03 - Machine Learning Pathway Overview/001 Machine Learning Pathway.mp4
14 MB
03 - Machine Learning Pathway Overview/001 Machine Learning Pathway__en.srt
16 kB
04 - NumPy/001 Introduction to NumPy.mp4
3.4 MB
04 - NumPy/001 Introduction to NumPy__en.srt
3.0 kB
04 - NumPy/002 NumPy Arrays.mp4
100 MB
04 - NumPy/002 NumPy Arrays__en.srt
32 kB
04 - NumPy/003 NumPy Indexing and Selection.mp4
40 MB
04 - NumPy/003 NumPy Indexing and Selection__en.srt
16 kB
04 - NumPy/004 NumPy Operations.mp4
36 MB
04 - NumPy/004 NumPy Operations__en.srt
12 kB
04 - NumPy/005 NumPy Exercises.mp4
9.6 MB
04 - NumPy/005 NumPy Exercises__en.srt
2.1 kB
04 - NumPy/006 Numpy Exercises - Solutions.mp4
35 MB
04 - NumPy/006 Numpy Exercises - Solutions__en.srt
11 kB
05 - Pandas/001 Introduction to Pandas.mp4
6.7 MB
05 - Pandas/001 Introduction to Pandas__en.srt
7.2 kB
05 - Pandas/002 Series - Part One.mp4
29 MB
05 - Pandas/002 Series - Part One__en.srt
13 kB
05 - Pandas/003 Series - Part Two.mp4
26 MB
05 - Pandas/003 Series - Part Two__en.srt
15 kB
05 - Pandas/004 DataFrames - Part One - Creating a DataFrame.mp4
98 MB
05 - Pandas/004 DataFrames - Part One - Creating a DataFrame__en.srt
29 kB
05 - Pandas/005 DataFrames - Part Two - Basic Properties.mp4
40 MB
05 - Pandas/005 DataFrames - Part Two - Basic Properties__en.srt
13 kB
05 - Pandas/006 DataFrames - Part Three - Working with Columns.mp4
84 MB
05 - Pandas/006 DataFrames - Part Three - Working with Columns__en.srt
21 kB
05 - Pandas/007 DataFrames - Part Four - Working with Rows.mp4
73 MB
05 - Pandas/007 DataFrames - Part Four - Working with Rows__en.srt
21 kB
05 - Pandas/008 Pandas - Conditional Filtering.mp4
69 MB
05 - Pandas/008 Pandas - Conditional Filtering__en.srt
27 kB
05 - Pandas/009 Pandas - Useful Methods - Apply on Single Column.mp4
54 MB
05 - Pandas/009 Pandas - Useful Methods - Apply on Single Column__en.srt
20 kB
05 - Pandas/010 Pandas - Useful Methods - Apply on Multiple Columns.mp4
85 MB
05 - Pandas/010 Pandas - Useful Methods - Apply on Multiple Columns__en.srt
26 kB
05 - Pandas/011 Pandas - Useful Methods - Statistical Information and Sorting.mp4
74 MB
05 - Pandas/011 Pandas - Useful Methods - Statistical Information and Sorting__en.srt
23 kB
05 - Pandas/012 Missing Data - Overview.mp4
27 MB
05 - Pandas/012 Missing Data - Overview__en.srt
18 kB
05 - Pandas/013 Missing Data - Pandas Operations.mp4
74 MB
05 - Pandas/013 Missing Data - Pandas Operations__en.srt
27 kB
05 - Pandas/014 GroupBy Operations - Part One.mp4
87 MB
05 - Pandas/014 GroupBy Operations - Part One__en.srt
21 kB
05 - Pandas/015 GroupBy Operations - Part Two - MultiIndex.mp4
93 MB
05 - Pandas/015 GroupBy Operations - Part Two - MultiIndex__en.srt
21 kB
05 - Pandas/016 Combining DataFrames - Concatenation.mp4
37 MB
05 - Pandas/016 Combining DataFrames - Concatenation__en.srt
15 kB
05 - Pandas/017 Combining DataFrames - Inner Merge.mp4
40 MB
05 - Pandas/017 Combining DataFrames - Inner Merge__en.srt
18 kB
05 - Pandas/018 Combining DataFrames - Left and Right Merge.mp4
16 MB
05 - Pandas/018 Combining DataFrames - Left and Right Merge__en.srt
9.1 kB
05 - Pandas/019 Combining DataFrames - Outer Merge.mp4
22 MB
05 - Pandas/019 Combining DataFrames - Outer Merge__en.srt
15 kB
05 - Pandas/020 Pandas - Text Methods for String Data.mp4
45 MB
05 - Pandas/020 Pandas - Text Methods for String Data__en.srt
24 kB
05 - Pandas/021 Pandas - Time Methods for Date and Time Data.mp4
80 MB
05 - Pandas/021 Pandas - Time Methods for Date and Time Data__en.srt
32 kB
05 - Pandas/022 Pandas Input and Output - CSV Files.mp4
37 MB
05 - Pandas/022 Pandas Input and Output - CSV Files__en.srt
17 kB
05 - Pandas/023 Pandas Input and Output - HTML Tables.mp4
102 MB
05 - Pandas/023 Pandas Input and Output - HTML Tables__en.srt
22 kB
05 - Pandas/024 Pandas Input and Output - Excel Files.mp4
26 MB
05 - Pandas/024 Pandas Input and Output - Excel Files__en.srt
11 kB
05 - Pandas/025 Pandas Input and Output - SQL Databases.mp4
96 MB
05 - Pandas/025 Pandas Input and Output - SQL Databases__en.srt
29 kB
05 - Pandas/026 Pandas Pivot Tables.mp4
129 MB
05 - Pandas/026 Pandas Pivot Tables__en.srt
32 kB
05 - Pandas/027 Pandas Project Exercise Overview.mp4
39 MB
05 - Pandas/027 Pandas Project Exercise Overview__en.srt
9.6 kB
05 - Pandas/028 Pandas Project Exercise Solutions.mp4
173 MB
05 - Pandas/028 Pandas Project Exercise Solutions__en.srt
39 kB
06 - Matplotlib/001 Introduction to Matplotlib.mp4
6.6 MB
06 - Matplotlib/001 Introduction to Matplotlib__en.srt
6.7 kB
06 - Matplotlib/002 Matplotlib Basics.mp4
31 MB
06 - Matplotlib/002 Matplotlib Basics__en.srt
20 kB
06 - Matplotlib/003 Matplotlib - Understanding the Figure Object.mp4
12 MB
06 - Matplotlib/003 Matplotlib - Understanding the Figure Object__en.srt
12 kB
06 - Matplotlib/004 Matplotlib - Implementing Figures and Axes.mp4
35 MB
06 - Matplotlib/004 Matplotlib - Implementing Figures and Axes__en.srt
21 kB
06 - Matplotlib/005 Matplotlib - Figure Parameters.mp4
13 MB
06 - Matplotlib/005 Matplotlib - Figure Parameters__en.srt
7.6 kB
06 - Matplotlib/006 Matplotlib - Subplots Functionality.mp4
97 MB
06 - Matplotlib/006 Matplotlib - Subplots Functionality__en.srt
29 kB
06 - Matplotlib/007 Matplotlib Styling - Legends.mp4
16 MB
06 - Matplotlib/007 Matplotlib Styling - Legends__en.srt
10 kB
06 - Matplotlib/008 Matplotlib Styling - Colors and Styles.mp4
44 MB
06 - Matplotlib/008 Matplotlib Styling - Colors and Styles__en.srt
21 kB
06 - Matplotlib/009 Advanced Matplotlib Commands (Optional).mp4
25 MB
06 - Matplotlib/009 Advanced Matplotlib Commands (Optional)__en.srt
6.5 kB
06 - Matplotlib/010 Matplotlib Exercise Questions Overview.mp4
49 MB
06 - Matplotlib/010 Matplotlib Exercise Questions Overview__en.srt
9.3 kB
06 - Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4
106 MB
06 - Matplotlib/011 Matplotlib Exercise Questions - Solutions__en.srt
24 kB
07 - Seaborn Data Visualizations/001 Introduction to Seaborn.mp4
5.7 MB
07 - Seaborn Data Visualizations/001 Introduction to Seaborn__en.srt
6.5 kB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4
111 MB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn__en.srt
30 kB
07 - Seaborn Data Visualizations/003 Distribution Plots - Part One - Understanding Plot Types.mp4
15 MB
07 - Seaborn Data Visualizations/003 Distribution Plots - Part One - Understanding Plot Types__en.srt
15 kB
07 - Seaborn Data Visualizations/004 Distribution Plots - Part Two - Coding with Seaborn.mp4
59 MB
07 - Seaborn Data Visualizations/004 Distribution Plots - Part Two - Coding with Seaborn__en.srt
25 kB
07 - Seaborn Data Visualizations/005 Categorical Plots - Statistics within Categories - Understanding Plot Types.mp4
16 MB
07 - Seaborn Data Visualizations/005 Categorical Plots - Statistics within Categories - Understanding Plot Types__en.srt
8.8 kB
07 - Seaborn Data Visualizations/006 Categorical Plots - Statistics within Categories - Coding with Seaborn.mp4
52 MB
07 - Seaborn Data Visualizations/006 Categorical Plots - Statistics within Categories - Coding with Seaborn__en.srt
15 kB
07 - Seaborn Data Visualizations/007 Categorical Plots - Distributions within Categories - Understanding Plot Types.mp4
45 MB
07 - Seaborn Data Visualizations/007 Categorical Plots - Distributions within Categories - Understanding Plot Types__en.srt
20 kB
07 - Seaborn Data Visualizations/008 Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4
85 MB
07 - Seaborn Data Visualizations/008 Categorical Plots - Distributions within Categories - Coding with Seaborn__en.srt
28 kB
07 - Seaborn Data Visualizations/009 Seaborn - Comparison Plots - Understanding the Plot Types.mp4
11 MB
07 - Seaborn Data Visualizations/009 Seaborn - Comparison Plots - Understanding the Plot Types__en.srt
8.7 kB
07 - Seaborn Data Visualizations/010 Seaborn - Comparison Plots - Coding with Seaborn.mp4
51 MB
07 - Seaborn Data Visualizations/010 Seaborn - Comparison Plots - Coding with Seaborn__en.srt
16 kB
07 - Seaborn Data Visualizations/011 Seaborn Grid Plots.mp4
87 MB
07 - Seaborn Data Visualizations/011 Seaborn Grid Plots__en.srt
20 kB
07 - Seaborn Data Visualizations/012 Seaborn - Matrix Plots.mp4
62 MB
07 - Seaborn Data Visualizations/012 Seaborn - Matrix Plots__en.srt
21 kB
07 - Seaborn Data Visualizations/013 Seaborn Plot Exercises Overview.mp4
48 MB
07 - Seaborn Data Visualizations/013 Seaborn Plot Exercises Overview__en.srt
11 kB
07 - Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4
106 MB
07 - Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions__en.srt
22 kB
08 - Data Analysis and Visualization Capstone Project Exercise/001 Capstone Project Overview.mp4
31 MB
08 - Data Analysis and Visualization Capstone Project Exercise/001 Capstone Project Overview__en.srt
21 kB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4
111 MB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One__en.srt
27 kB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4
106 MB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two__en.srt
24 kB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4
137 MB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three__en.srt
31 kB
08 - Data Analysis and Visualization Capstone Project Exercise/GetFreeCourses.Co.url
116 B
08 - Data Analysis and Visualization Capstone Project Exercise/How you can help GetFreeCourses.Co.txt
182 B
09 - Machine Learning Concepts Overview/001 Introduction to Machine Learning Overview Section.mp4
13 MB
09 - Machine Learning Concepts Overview/001 Introduction to Machine Learning Overview Section__en.srt
8.6 kB
09 - Machine Learning Concepts Overview/002 Why Machine Learning_.mp4
21 MB
09 - Machine Learning Concepts Overview/002 Why Machine Learning___en.srt
15 kB
09 - Machine Learning Concepts Overview/003 Types of Machine Learning Algorithms.mp4
18 MB
09 - Machine Learning Concepts Overview/003 Types of Machine Learning Algorithms__en.srt
12 kB
09 - Machine Learning Concepts Overview/004 Supervised Machine Learning Process.mp4
34 MB
09 - Machine Learning Concepts Overview/004 Supervised Machine Learning Process__en.srt
20 kB
09 - Machine Learning Concepts Overview/005 Companion Book - Introduction to Statistical Learning.mp4
5.1 MB
09 - Machine Learning Concepts Overview/005 Companion Book - Introduction to Statistical Learning__en.srt
4.7 kB
10 - Linear Regression/001 Introduction to Linear Regression Section.mp4
2.6 MB
10 - Linear Regression/001 Introduction to Linear Regression Section__en.srt
2.7 kB
10 - Linear Regression/002 Linear Regression - Algorithm History.mp4
55 MB
10 - Linear Regression/002 Linear Regression - Algorithm History__en.srt
13 kB
10 - Linear Regression/003 Linear Regression - Understanding Ordinary Least Squares.mp4
86 MB
10 - Linear Regression/003 Linear Regression - Understanding Ordinary Least Squares__en.srt
22 kB
10 - Linear Regression/004 Linear Regression - Cost Functions.mp4
17 MB
10 - Linear Regression/004 Linear Regression - Cost Functions__en.srt
12 kB
10 - Linear Regression/005 Linear Regression - Gradient Descent.mp4
29 MB
10 - Linear Regression/005 Linear Regression - Gradient Descent__en.srt
17 kB
10 - Linear Regression/006 Python coding Simple Linear Regression.mp4
70 MB
10 - Linear Regression/006 Python coding Simple Linear Regression__en.srt
28 kB
10 - Linear Regression/007 Overview of Scikit-Learn and Python.mp4
31 MB
10 - Linear Regression/007 Overview of Scikit-Learn and Python__en.srt
10 kB
10 - Linear Regression/007 Overview of Scikit-Learn and Python_en.vtt
11 kB
10 - Linear Regression/008 Linear Regression - Scikit-Learn Train Test Split.mp4
61 MB
10 - Linear Regression/008 Linear Regression - Scikit-Learn Train Test Split__en.srt
24 kB
10 - Linear Regression/009 Linear Regression - Scikit-Learn Performance Evaluation - Regression.mp4
53 MB
10 - Linear Regression/009 Linear Regression - Scikit-Learn Performance Evaluation - Regression__en.srt
23 kB
10 - Linear Regression/010 Linear Regression - Residual Plots.mp4
44 MB
10 - Linear Regression/010 Linear Regression - Residual Plots__en.srt
20 kB
10 - Linear Regression/011 Linear Regression - Model Deployment and Coefficient Interpretation.mp4
81 MB
10 - Linear Regression/011 Linear Regression - Model Deployment and Coefficient Interpretation__en.srt
26 kB
10 - Linear Regression/012 Polynomial Regression - Theory and Motivation.mp4
22 MB
10 - Linear Regression/012 Polynomial Regression - Theory and Motivation__en.srt
11 kB
10 - Linear Regression/013 Polynomial Regression - Creating Polynomial Features.mp4
40 MB
10 - Linear Regression/013 Polynomial Regression - Creating Polynomial Features__en.srt
16 kB
10 - Linear Regression/014 Polynomial Regression - Training and Evaluation.mp4
36 MB
10 - Linear Regression/014 Polynomial Regression - Training and Evaluation__en.srt
14 kB
10 - Linear Regression/015 Bias Variance Trade-Off.mp4
36 MB
10 - Linear Regression/015 Bias Variance Trade-Off__en.srt
16 kB
10 - Linear Regression/016 Polynomial Regression - Choosing Degree of Polynomial.mp4
56 MB
10 - Linear Regression/016 Polynomial Regression - Choosing Degree of Polynomial__en.srt
20 kB
10 - Linear Regression/017 Polynomial Regression - Model Deployment.mp4
23 MB
10 - Linear Regression/017 Polynomial Regression - Model Deployment__en.srt
8.4 kB
10 - Linear Regression/018 Regularization Overview.mp4
16 MB
10 - Linear Regression/018 Regularization Overview__en.srt
10 kB
10 - Linear Regression/019 Feature Scaling.mp4
24 MB
10 - Linear Regression/019 Feature Scaling__en.srt
15 kB
10 - Linear Regression/020 Introduction to Cross Validation.mp4
33 MB
10 - Linear Regression/020 Introduction to Cross Validation__en.srt
20 kB
10 - Linear Regression/021 Regularization Data Setup.mp4
20 MB
10 - Linear Regression/021 Regularization Data Setup__en.srt
12 kB
10 - Linear Regression/022 L2 Regularization - Ridge Regression Theory.mp4
61 MB
10 - Linear Regression/022 L2 Regularization - Ridge Regression Theory__en.srt
21 kB
10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation.mp4
89 MB
10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation__en.srt
11 kB
10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation_en.vtt
23 kB
10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation.mp4
95 MB
10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation__en.srt
5.4 kB
10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation_en.vtt
20 kB
10 - Linear Regression/025 L1 and L2 Regularization - Elastic Net.mp4
66 MB
10 - Linear Regression/025 L1 and L2 Regularization - Elastic Net__en.srt
17 kB
10 - Linear Regression/025 L1 and L2 Regularization - Elastic Net_en.vtt
23 kB
10 - Linear Regression/026 Linear Regression Project - Data Overview.mp4
17 MB
10 - Linear Regression/026 Linear Regression Project - Data Overview__en.srt
7.7 kB
11 - Feature Engineering and Data Preparation/001 A note from Jose on Feature Engineering and Data Preparation.html
990 B
11 - Feature Engineering and Data Preparation/002 Introduction to Feature Engineering and Data Preparation.mp4
36 MB
11 - Feature Engineering and Data Preparation/002 Introduction to Feature Engineering and Data Preparation__en.srt
24 kB
11 - Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4
103 MB
11 - Feature Engineering and Data Preparation/003 Dealing with Outliers__en.srt
41 kB
11 - Feature Engineering and Data Preparation/004 Dealing with Missing Data _ Part One - Evaluation of Missing Data.mp4
19 MB
11 - Feature Engineering and Data Preparation/004 Dealing with Missing Data _ Part One - Evaluation of Missing Data__en.srt
17 kB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4
118 MB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows__en.srt
31 kB
11 - Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4
105 MB
11 - Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns__en.srt
37 kB
11 - Feature Engineering and Data Preparation/007 Dealing with Categorical Data - Encoding Options.mp4
59 MB
11 - Feature Engineering and Data Preparation/007 Dealing with Categorical Data - Encoding Options__en.srt
20 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/001 Section Overview and Introduction.mp4
5.6 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/001 Section Overview and Introduction__en.srt
5.1 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/002 Cross Validation - Test _ Train Split.mp4
47 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/002 Cross Validation - Test _ Train Split__en.srt
17 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/003 Cross Validation - Test _ Validation _ Train Split.mp4
59 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/003 Cross Validation - Test _ Validation _ Train Split__en.srt
22 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/004 Cross Validation - cross_val_score.mp4
44 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/004 Cross Validation - cross_val_score__en.srt
8.1 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/004 Cross Validation - cross_val_score_en.vtt
15 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/005 Cross Validation - cross_validate.mp4
45 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/005 Cross Validation - cross_validate__en.srt
11 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/006 Grid Search.mp4
73 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/006 Grid Search__en.srt
19 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/007 Linear Regression Project Overview.mp4
24 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/007 Linear Regression Project Overview__en.srt
5.8 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions.mp4
91 MB
12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions__en.srt
8.8 kB
12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions_en.vtt
16 kB
13 - Logistic Regression/001 Early Bird Note on Downloading .zip for Logistic Regression Notes.html
523 B
13 - Logistic Regression/002 Introduction to Logistic Regression Section.mp4
14 MB
13 - Logistic Regression/002 Introduction to Logistic Regression Section__en.srt
8.4 kB
13 - Logistic Regression/003 Logistic Regression - Theory and Intuition - Part One_ The Logistic Function.mp4
17 MB
13 - Logistic Regression/003 Logistic Regression - Theory and Intuition - Part One_ The Logistic Function__en.srt
8.1 kB
13 - Logistic Regression/004 Logistic Regression - Theory and Intuition - Part Two_ Linear to Logistic.mp4
8.0 MB
13 - Logistic Regression/004 Logistic Regression - Theory and Intuition - Part Two_ Linear to Logistic__en.srt
7.3 kB
13 - Logistic Regression/005 Logistic Regression - Theory and Intuition - Linear to Logistic Math.mp4
36 MB
13 - Logistic Regression/005 Logistic Regression - Theory and Intuition - Linear to Logistic Math__en.srt
25 kB
13 - Logistic Regression/006 Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood.mp4
55 MB
13 - Logistic Regression/006 Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood__en.srt
23 kB
13 - Logistic Regression/007 Logistic Regression with Scikit-Learn - Part One - EDA.mp4
62 MB
13 - Logistic Regression/007 Logistic Regression with Scikit-Learn - Part One - EDA__en.srt
22 kB
13 - Logistic Regression/008 Logistic Regression with Scikit-Learn - Part Two - Model Training.mp4
33 MB
13 - Logistic Regression/008 Logistic Regression with Scikit-Learn - Part Two - Model Training__en.srt
9.6 kB
13 - Logistic Regression/009 Classification Metrics - Confusion Matrix and Accuracy.mp4
22 MB
13 - Logistic Regression/009 Classification Metrics - Confusion Matrix and Accuracy__en.srt
14 kB
13 - Logistic Regression/010 Classification Metrics - Precison, Recall, F1-Score.mp4
33 MB
13 - Logistic Regression/010 Classification Metrics - Precison, Recall, F1-Score__en.srt
8.3 kB
13 - Logistic Regression/011 Classification Metrics - ROC Curves.mp4
16 MB
13 - Logistic Regression/011 Classification Metrics - ROC Curves__en.srt
11 kB
13 - Logistic Regression/012 Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation.mp4
57 MB
13 - Logistic Regression/012 Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation__en.srt
23 kB
13 - Logistic Regression/013 Multi-Class Classification with Logistic Regression - Part One - Data and EDA.mp4
37 MB
13 - Logistic Regression/013 Multi-Class Classification with Logistic Regression - Part One - Data and EDA__en.srt
12 kB
13 - Logistic Regression/014 Multi-Class Classification with Logistic Regression - Part Two - Model.mp4
105 MB
13 - Logistic Regression/014 Multi-Class Classification with Logistic Regression - Part Two - Model__en.srt
24 kB
13 - Logistic Regression/015 Logistic Regression Exercise Project Overview.mp4
24 MB
13 - Logistic Regression/015 Logistic Regression Exercise Project Overview__en.srt
6.5 kB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4
161 MB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions__en.srt
14 kB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions_en.vtt
31 kB
13 - Logistic Regression/29304858-11-Logistic-Regression-Models.zip
2.0 MB
14 - KNN - K Nearest Neighbors/001 Introduction to KNN Section.mp4
3.6 MB
14 - KNN - K Nearest Neighbors/001 Introduction to KNN Section__en.srt
3.6 kB
14 - KNN - K Nearest Neighbors/002 KNN Classification - Theory and Intuition.mp4
24 MB
14 - KNN - K Nearest Neighbors/002 KNN Classification - Theory and Intuition__en.srt
17 kB
14 - KNN - K Nearest Neighbors/003 KNN Coding with Python - Part One.mp4
62 MB
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