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

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视频 2021-11-18 00:34 2024-4-30 18:04 158 2.67 GB 55
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文件列表
  1. 1. Introduction/1. Welcome to the course!.mp416.28MB
  2. 1. Introduction/2. Course contents.mp447.85MB
  3. 1. Introduction/4. This is a milestone!.mp420.66MB
  4. 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp418.61MB
  5. 2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp473.07MB
  6. 2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp451.3MB
  7. 2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp415.92MB
  8. 2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp480.64MB
  9. 2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp473.68MB
  10. 2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp454.12MB
  11. 2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp456.46MB
  12. 2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp448.87MB
  13. 3. Basics of Statistics/1. Types of Data.mp421.75MB
  14. 3. Basics of Statistics/2. Types of Statistics.mp410.93MB
  15. 3. Basics of Statistics/3. Describing data Graphically.mp465.38MB
  16. 3. Basics of Statistics/4. Measures of Centers.mp438.55MB
  17. 3. Basics of Statistics/6. Measures of Dispersion.mp422.86MB
  18. 4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4123.89MB
  19. 4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp445.26MB
  20. 5. Data Preprocessing/1. Gathering Business Knowledge.mp425.11MB
  21. 5. Data Preprocessing/10. Outlier Treatment in Python.mp486.57MB
  22. 5. Data Preprocessing/12. Missing Value Imputation.mp427.56MB
  23. 5. Data Preprocessing/13. Missing Value Imputation in Python.mp428.59MB
  24. 5. Data Preprocessing/15. Seasonality in Data.mp420.88MB
  25. 5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4113.73MB
  26. 5. Data Preprocessing/17. Variable transformation and deletion in Python.mp453.4MB
  27. 5. Data Preprocessing/19. Non-usable variables.mp423.94MB
  28. 5. Data Preprocessing/2. Data Exploration.mp423.41MB
  29. 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp440.62MB
  30. 5. Data Preprocessing/21. Dummy variable creation in Python.mp433.9MB
  31. 5. Data Preprocessing/23. Correlation Analysis.mp481.31MB
  32. 5. Data Preprocessing/24. Correlation Analysis in Python.mp468.02MB
  33. 5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp478.58MB
  34. 5. Data Preprocessing/4. Importing Data in Python.mp432.46MB
  35. 5. Data Preprocessing/6. Univariate analysis and EDD.mp427.29MB
  36. 5. Data Preprocessing/7. EDD in Python.mp475.08MB
  37. 5. Data Preprocessing/9. Outlier Treatment.mp427.78MB
  38. 6. Linear Regression/1. The Problem Statement.mp410.69MB
  39. 6. Linear Regression/10. Interpreting results of Categorical variables.mp427.13MB
  40. 6. Linear Regression/11. Multiple Linear Regression in Python.mp488.13MB
  41. 6. Linear Regression/14. Test-train split.mp449.13MB
  42. 6. Linear Regression/15. Bias Variance trade-off.mp429.6MB
  43. 6. Linear Regression/17. Test train split in Python.mp457.77MB
  44. 6. Linear Regression/19. Linear models other than OLS.mp419.18MB
  45. 6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp450.26MB
  46. 6. Linear Regression/20. Subset selection techniques.mp487.15MB
  47. 6. Linear Regression/21. Shrinkage methods Ridge and Lasso.mp438.64MB
  48. 6. Linear Regression/22. Ridge regression and Lasso in Python.mp4156.63MB
  49. 6. Linear Regression/23. Heteroscedasticity.mp417.73MB
  50. 6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4104.42MB
  51. 6. Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp449.72MB
  52. 6. Linear Regression/5. Simple Linear Regression in Python.mp478.64MB
  53. 6. Linear Regression/7. Multiple Linear Regression.mp438.9MB
  54. 6. Linear Regression/8. The F - statistic.mp464.12MB
  55. 7. Bonus Section/1. The final milestone!.mp411.87MB
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