[DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python


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File Size:   2.74 GB
Creat Time:   2025-02-04
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Last Active:   2025-05-12
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Tags:    DesireCourse Com Udemy - Machine Learning Basics Building Regression Model in Python
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File List

  1. 6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 156.63 MB
  2. 4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 123.90 MB
  3. 5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 113.73 MB
  4. 6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 104.42 MB
  5. 6. Linear Regression/10. Multiple Linear Regression in Python.mp4 88.14 MB
  6. 6. Linear Regression/16. Subset selection techniques.mp4 87.14 MB
  7. 5. Data Preprocessing/10. Outlier Treatment in Python.mp4 86.57 MB
  8. 2. Basics of Statistics/3. Describing data Graphically.mp4 82.21 MB
  9. 5. Data Preprocessing/23. Correlation Analysis.mp4 81.30 MB
  10. 3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 80.64 MB
  11. 6. Linear Regression/5. Simple Linear Regression in Python.vtt 78.64 MB
  12. 6. Linear Regression/5. Simple Linear Regression in Python.mp4 78.63 MB
  13. 5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 78.59 MB
  14. 5. Data Preprocessing/7. EDD in Python.mp4 75.08 MB
  15. 3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 73.67 MB
  16. 3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 73.07 MB
  17. 5. Data Preprocessing/24. Correlation Analysis in Python.mp4 68.03 MB
  18. 6. Linear Regression/8. The F - statistic.mp4 64.12 MB
  19. 6. Linear Regression/14. Test train split in Python.mp4 57.77 MB
  20. 3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 56.46 MB
  21. 3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 54.13 MB
  22. 5. Data Preprocessing/17. Variable transformation and deletion in Python.mp4 53.40 MB
  23. 3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 51.30 MB
  24. 6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 50.27 MB
  25. 6. Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4 49.72 MB
  26. 6. Linear Regression/12. Test-train split.mp4 49.14 MB
  27. 3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 48.87 MB
  28. 1. Introduction/2. Course contents.mp4 47.85 MB
  29. 2. Basics of Statistics/4. Measures of Centers.mp4 45.67 MB
  30. 4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4 45.26 MB
  31. 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.63 MB
  32. 6. Linear Regression/7. Multiple Linear Regression.mp4 38.91 MB
  33. 6. Linear Regression/17. Shrinkage methods Ridge and Lasso.mp4 38.64 MB
  34. 5. Data Preprocessing/21. Dummy variable creation in Python.mp4 33.89 MB
  35. 5. Data Preprocessing/4. Importing Data in Python.mp4 32.46 MB
  36. 6. Linear Regression/13. Bias Variance trade-off.mp4 29.60 MB
  37. 5. Data Preprocessing/13. Missing Value Imputation in Python.mp4 28.59 MB
  38. 2. Basics of Statistics/6. Measures of Dispersion.mp4 28.39 MB
  39. 5. Data Preprocessing/9. Outlier Treatment.mp4 27.78 MB
  40. 5. Data Preprocessing/12. Missing Value Imputation.mp4 27.56 MB
  41. 5. Data Preprocessing/6. Univariate analysis and EDD.mp4 27.30 MB
  42. 6. Linear Regression/9. Interpreting results of Categorical variables.mp4 27.13 MB
  43. 2. Basics of Statistics/1. Types of Data.mp4 25.86 MB
  44. 5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.11 MB
  45. 5. Data Preprocessing/19. Non-usable variables.mp4 23.95 MB
  46. 5. Data Preprocessing/2. Data Exploration.mp4 23.41 MB
  47. 5. Data Preprocessing/15. Seasonality in Data.mp4 20.88 MB
  48. 6. Linear Regression/15. Linear models other than OLS.mp4 19.18 MB
  49. 3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 18.61 MB
  50. 1. Introduction/1. Welcome to the course!.mp4 16.27 MB

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