[FreeCourseSite.com] Udemy - Complete Linear Regression Analysis in Python

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文件数目：172个文件
文件大小：2.68 GB
收录时间：2023-01-30
访问次数：2
相关内容：FreeCourseSite Udemy Complete Linear Regression Analysis Python

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6. Linear Regression/22. Ridge regression and Lasso in Python.mp4
156.63 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
123.89 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4
113.73 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4
104.42 MB
6. Linear Regression/11. Multiple Linear Regression in Python.mp4
88.13 MB
6. Linear Regression/20. Subset selection techniques.mp4
87.15 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4
86.57 MB
5. Data Preprocessing/23. Correlation Analysis.mp4
81.31 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4
80.64 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4
78.64 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4
78.58 MB
5. Data Preprocessing/7. EDD in Python.mp4
75.08 MB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4
73.68 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4
73.07 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4
68.02 MB
3. Basics of Statistics/3. Describing data Graphically.mp4
65.38 MB
6. Linear Regression/8. The F - statistic.mp4
64.12 MB
6. Linear Regression/17. Test train split in Python.mp4
57.77 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4
56.46 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4
54.12 MB
5. Data Preprocessing/17. Variable transformation and deletion in Python.mp4
53.4 MB
2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4
51.3 MB
6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
50.26 MB
6. Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4
49.72 MB
6. Linear Regression/14. Test-train split.mp4
49.13 MB
2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4
48.87 MB
1. Introduction/2. Course contents.mp4
47.85 MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4
45.26 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4
40.62 MB
6. Linear Regression/7. Multiple Linear Regression.mp4
38.9 MB
6. Linear Regression/21. Shrinkage methods Ridge and Lasso.mp4
38.64 MB
3. Basics of Statistics/4. Measures of Centers.mp4
38.55 MB
5. Data Preprocessing/21. Dummy variable creation in Python.mp4
33.9 MB
5. Data Preprocessing/4. Importing Data in Python.mp4
32.46 MB
6. Linear Regression/15. Bias Variance trade-off.mp4
29.6 MB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp4
28.59 MB
5. Data Preprocessing/9. Outlier Treatment.mp4
27.78 MB
5. Data Preprocessing/12. Missing Value Imputation.mp4
27.56 MB
5. Data Preprocessing/6. Univariate analysis and EDD.mp4
27.29 MB
6. Linear Regression/10. Interpreting results of Categorical variables.mp4
27.13 MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4
25.11 MB
5. Data Preprocessing/19. Non-usable variables.mp4
23.94 MB
5. Data Preprocessing/2. Data Exploration.mp4
23.41 MB
3. Basics of Statistics/6. Measures of Dispersion.mp4
22.86 MB
3. Basics of Statistics/1. Types of Data.mp4
21.75 MB
5. Data Preprocessing/15. Seasonality in Data.mp4
20.88 MB
1. Introduction/4. This is a milestone!.mp4
20.66 MB
6. Linear Regression/19. Linear models other than OLS.mp4
19.18 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4
18.61 MB
6. Linear Regression/23. Heteroscedasticity.mp4
17.73 MB