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[FreeCourseSite.com] Udemy - Linear Regression and Logistic Regression in Python

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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
1. Introduction/1. Introduction.mp4
25 MB
1. Introduction/1. Introduction.srt
3.7 kB
1. Introduction/2. Course Resources.html
388 B
2. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp4
16 MB
2. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.srt
2.6 kB
2. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp4
40 MB
2. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.srt
8.6 kB
2. Setting up Python and Python Crash Course/2. This is a milestone!.mp4
21 MB
2. Setting up Python and Python Crash Course/2. This is a milestone!.srt
3.8 kB
2. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp4
65 MB
2. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.srt
9.8 kB
2. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp4
41 MB
2. Setting up Python and Python Crash Course/4. Introduction to Jupyter.srt
13 kB
2. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp4
13 MB
2. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.srt
4.4 kB
2. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp4
64 MB
2. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.srt
18 kB
2. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp4
60 MB
2. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.srt
20 kB
2. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp4
44 MB
2. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.srt
12 kB
2. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp4
47 MB
2. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.srt
10 kB
3. Basics of Statistics/1. Types of Data.mp4
22 MB
3. Basics of Statistics/1. Types of Data.srt
5.0 kB
3. Basics of Statistics/2. Types of Statistics.mp4
11 MB
3. Basics of Statistics/2. Types of Statistics.srt
3.2 kB
3. Basics of Statistics/3. Describing data Graphically.mp4
65 MB
3. Basics of Statistics/3. Describing data Graphically.srt
13 kB
3. Basics of Statistics/4. Measures of Centers.mp4
39 MB
3. Basics of Statistics/4. Measures of Centers.srt
7.9 kB
3. Basics of Statistics/5. Measures of Dispersion.mp4
23 MB
3. Basics of Statistics/5. Measures of Dispersion.srt
5.2 kB
4. Data Preprocessing before building Linear Regression Model/1. Gathering Business Knowledge.mp4
22 MB
4. Data Preprocessing before building Linear Regression Model/1. Gathering Business Knowledge.srt
4.1 kB
4. Data Preprocessing before building Linear Regression Model/10. Missing Value Imputation in Python.mp4
23 MB
4. Data Preprocessing before building Linear Regression Model/10. Missing Value Imputation in Python.srt
4.8 kB
4. Data Preprocessing before building Linear Regression Model/11. Seasonality in Data.mp4
17 MB
4. Data Preprocessing before building Linear Regression Model/11. Seasonality in Data.srt
4.0 kB
4. Data Preprocessing before building Linear Regression Model/12. Bi-variate analysis and Variable transformation.mp4
100 MB
4. Data Preprocessing before building Linear Regression Model/12. Bi-variate analysis and Variable transformation.srt
19 kB
4. Data Preprocessing before building Linear Regression Model/13. Variable transformation and deletion in Python.mp4
44 MB
4. Data Preprocessing before building Linear Regression Model/13. Variable transformation and deletion in Python.srt
9.0 kB
4. Data Preprocessing before building Linear Regression Model/14. Non-usable variables.mp4
20 MB
4. Data Preprocessing before building Linear Regression Model/14. Non-usable variables.srt
6.0 kB
4. Data Preprocessing before building Linear Regression Model/15. Dummy variable creation Handling qualitative data.mp4
37 MB
4. Data Preprocessing before building Linear Regression Model/15. Dummy variable creation Handling qualitative data.srt
5.8 kB
4. Data Preprocessing before building Linear Regression Model/16. Dummy variable creation in Python.mp4
26 MB
4. Data Preprocessing before building Linear Regression Model/16. Dummy variable creation in Python.srt
6.2 kB
4. Data Preprocessing before building Linear Regression Model/17. Correlation Analysis.mp4
72 MB
4. Data Preprocessing before building Linear Regression Model/17. Correlation Analysis.srt
12 kB
4. Data Preprocessing before building Linear Regression Model/18. Correlation Analysis in Python.mp4
55 MB
4. Data Preprocessing before building Linear Regression Model/18. Correlation Analysis in Python.srt
7.0 kB
4. Data Preprocessing before building Linear Regression Model/19. Quiz.html
212 B
4. Data Preprocessing before building Linear Regression Model/2. Data Exploration.mp4
20 MB
4. Data Preprocessing before building Linear Regression Model/2. Data Exploration.srt
3.9 kB
4. Data Preprocessing before building Linear Regression Model/3. The Dataset and the Data Dictionary.mp4
69 MB
4. Data Preprocessing before building Linear Regression Model/3. The Dataset and the Data Dictionary.srt
8.8 kB
4. Data Preprocessing before building Linear Regression Model/4. Importing Data in Python.mp4
28 MB
4. Data Preprocessing before building Linear Regression Model/4. Importing Data in Python.srt
6.5 kB
4. Data Preprocessing before building Linear Regression Model/5. Univariate analysis and EDD.mp4
24 MB
4. Data Preprocessing before building Linear Regression Model/5. Univariate analysis and EDD.srt
4.0 kB
4. Data Preprocessing before building Linear Regression Model/6. EDD in Python.mp4
62 MB
4. Data Preprocessing before building Linear Regression Model/6. EDD in Python.srt
12 kB
4. Data Preprocessing before building Linear Regression Model/7. Outlier Treatment.mp4
24 MB
4. Data Preprocessing before building Linear Regression Model/7. Outlier Treatment.srt
5.1 kB
4. Data Preprocessing before building Linear Regression Model/8. Outlier Treatment in Python.mp4
70 MB
4. Data Preprocessing before building Linear Regression Model/8. Outlier Treatment in Python.srt
14 kB
4. Data Preprocessing before building Linear Regression Model/9. Missing Value Imputation.mp4
25 MB
4. Data Preprocessing before building Linear Regression Model/9. Missing Value Imputation.srt
4.2 kB
5. Building the Linear Regression Model/1. The Problem Statement.mp4
9.4 MB
5. Building the Linear Regression Model/1. The Problem Statement.srt
1.7 kB
5. Building the Linear Regression Model/10. Test-train split.mp4
42 MB
5. Building the Linear Regression Model/10. Test-train split.srt
11 kB
5. Building the Linear Regression Model/11. Bias Variance trade-off.mp4
25 MB
5. Building the Linear Regression Model/11. Bias Variance trade-off.srt
7.0 kB
5. Building the Linear Regression Model/12. More about test-train split.html
559 B
5. Building the Linear Regression Model/13. Test train split in Python.mp4
45 MB
5. Building the Linear Regression Model/13. Test train split in Python.srt
8.7 kB
5. Building the Linear Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
43 MB
5. Building the Linear Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.srt
10 kB
5. Building the Linear Regression Model/3. Assessing accuracy of predicted coefficients.mp4
92 MB
5. Building the Linear Regression Model/3. Assessing accuracy of predicted coefficients.srt
17 kB
5. Building the Linear Regression Model/4. Assessing Model Accuracy RSE and R squared.mp4
44 MB
5. Building the Linear Regression Model/4. Assessing Model Accuracy RSE and R squared.srt
8.4 kB
5. Building the Linear Regression Model/5. Simple Linear Regression in Python.mp4
63 MB
5. Building the Linear Regression Model/5. Simple Linear Regression in Python.srt
13 kB
5. Building the Linear Regression Model/6. Multiple Linear Regression.mp4
34 MB
5. Building the Linear Regression Model/6. Multiple Linear Regression.srt
6.3 kB
5. Building the Linear Regression Model/7. The F - statistic.mp4
56 MB
5. Building the Linear Regression Model/7. The F - statistic.srt
9.7 kB
5. Building the Linear Regression Model/8. Interpreting results of Categorical variables.mp4
22 MB
5. Building the Linear Regression Model/8. Interpreting results of Categorical variables.srt
5.9 kB
5. Building the Linear Regression Model/9. Multiple Linear Regression in Python.mp4
70 MB
5. Building the Linear Regression Model/9. Multiple Linear Regression in Python.srt
14 kB
6. Logistic Regression Data Preprocessing/1. The Dataset and the Data Dictionary.mp4
79 MB
6. Logistic Regression Data Preprocessing/1. The Dataset and the Data Dictionary.srt
9.3 kB
6. Logistic Regression Data Preprocessing/2. Data Import in Python.mp4
22 MB
6. Logistic Regression Data Preprocessing/2. Data Import in Python.srt
5.3 kB
6. Logistic Regression Data Preprocessing/3. EDD in Python.mp4
78 MB
6. Logistic Regression Data Preprocessing/3. EDD in Python.srt
18 kB
6. Logistic Regression Data Preprocessing/4. Outlier Treatment in Python.mp4
47 MB
6. Logistic Regression Data Preprocessing/4. Outlier Treatment in Python.srt
9.6 kB
6. Logistic Regression Data Preprocessing/5. Missing Value Imputation in Python.mp4
23 MB
6. Logistic Regression Data Preprocessing/5. Missing Value Imputation in Python.srt
4.8 kB
6. Logistic Regression Data Preprocessing/6. Variable transformation and Deletion in Python.mp4
29 MB
6. Logistic Regression Data Preprocessing/6. Variable transformation and Deletion in Python.srt
4.3 kB
6. Logistic Regression Data Preprocessing/7. Dummy variable creation in Python.mp4
26 MB
6. Logistic Regression Data Preprocessing/7. Dummy variable creation in Python.srt
6.1 kB
7. Building a Logistic Regression Model/1. Why can't we use Linear Regression.mp4
17 MB
7. Building a Logistic Regression Model/1. Why can't we use Linear Regression.srt
5.5 kB
7. Building a Logistic Regression Model/10. Evaluating model performance in Python.mp4
9.0 MB
7. Building a Logistic Regression Model/10. Evaluating model performance in Python.srt
2.7 kB
7. Building a Logistic Regression Model/2. Logistic Regression.mp4
33 MB
7. Building a Logistic Regression Model/2. Logistic Regression.srt
8.6 kB
7. Building a Logistic Regression Model/3. Training a Simple Logistic Model in Python.mp4
48 MB
7. Building a Logistic Regression Model/3. Training a Simple Logistic Model in Python.srt
11 kB
7. Building a Logistic Regression Model/4. Result of Simple Logistic Regression.mp4
27 MB
7. Building a Logistic Regression Model/4. Result of Simple Logistic Regression.srt
5.9 kB
7. Building a Logistic Regression Model/5. Logistic with multiple predictors.mp4
8.5 MB
7. Building a Logistic Regression Model/5. Logistic with multiple predictors.srt
3.0 kB
7. Building a Logistic Regression Model/6. Training multiple predictor Logistic model in Python.mp4
26 MB
7. Building a Logistic Regression Model/6. Training multiple predictor Logistic model in Python.srt
6.0 kB
7. Building a Logistic Regression Model/7. Confusion Matrix.mp4
21 MB
7. Building a Logistic Regression Model/7. Confusion Matrix.srt
4.9 kB
7. Building a Logistic Regression Model/8. Creating Confusion Matrix in Python.mp4
51 MB
7. Building a Logistic Regression Model/8. Creating Confusion Matrix in Python.srt
11 kB
7. Building a Logistic Regression Model/9. Evaluating performance of model.mp4
35 MB
7. Building a Logistic Regression Model/9. Evaluating performance of model.srt
9.4 kB
8. Test-Train Split/1. Test-Train Split.mp4
39 MB
8. Test-Train Split/1. Test-Train Split.srt
11 kB
8. Test-Train Split/2. Test-Train Split in Python.mp4
33 MB
8. Test-Train Split/2. Test-Train Split in Python.srt
7.4 kB
9. Bonus Section/1. The final milestone!.mp4
12 MB
9. Bonus Section/1. The final milestone!.srt
1.7 kB
9. Bonus Section/2. Congratulations & About your certificate.html
1.6 kB