1. Introduction.mp4 (24.74 MB)
10. Working with Numpy Library of Python.mp4 (43.87 MB)
11. Working with Pandas Library of Python.mp4 (46.88 MB)
12. Working with Seaborn Library of Python.mp4 (40.35 MB)
13. Types of Data.mp4 (21.76 MB)
14. Types of Statistics.mp4 (10.93 MB)
15. Describing data Graphically.mp4 (65.35 MB)
16. Measures of Centers.mp4 (38.58 MB)
17. Measures of Dispersion.mp4 (22.86 MB)
18. Gathering Business Knowledge.mp4 (14.53 MB)
19. Data Exploration.mp4 (20.13 MB)
20. The Dataset and the Data Dictionary.mp4 (69.37 MB)
21. Importing Data in Python.mp4 (27.82 MB)
22. Univariate analysis and EDD.mp4 (24.21 MB)
23. EDD in Python.mp4 (61.79 MB)
24. Outlier Treatment.mp4 (24.5 MB)
25. Outlier Treatment in Python.mp4 (70.24 MB)
26. Missing Value Imputation.mp4 (24.99 MB)
27. Missing Value Imputation in Python.mp4 (23.41 MB)
28. Seasonality in Data.mp4 (17.03 MB)
29. Bi variate analysis and Variable transformation.mp4 (100.42 MB)
3. Installing Python and Anaconda.mp4 (16.26 MB)
30. Variable transformation and deletion in Python.mp4 (44.1 MB)
31. Non usable variables.mp4 (20.24 MB)
32. Dummy variable creation Handling qualitative data.mp4 (36.81 MB)
33. Dummy variable creation in Python.mp4 (26.53 MB)
34. Correlation Analysis.mp4 (71.58 MB)
35. Correlation Analysis in Python.mp4 (55.31 MB)
36. The Problem Statement.mp4 (9.37 MB)
37. Basic Equations and Ordinary Least Squares (OLS) method.mp4 (43.36 MB)
38. Assessing accuracy of predicted coefficients.mp4 (92.11 MB)
39. Assessing Model Accuracy RSE and R squared.mp4 (43.59 MB)
4. This is a milestone!.mp4 (20.63 MB)
40. Simple Linear Regression in Python.mp4 (63.41 MB)
41. Multiple Linear Regression.mp4 (34.31 MB)
42. The F   statistic.mp4 (56.02 MB)
43. Interpreting results of Categorical variables.mp4 (22.49 MB)
44. Multiple Linear Regression in Python.mp4 (69.74 MB)
45. Test train split.mp4 (41.86 MB)
46. Bias Variance trade off.mp4 (25.09 MB)
48. Test train split in Python.mp4 (44.88 MB)
49. The Dataset and the Data Dictionary.mp4 (79.2 MB)
5. Opening Jupyter Notebook.mp4 (65.19 MB)
50. Data Import in Python.mp4 (22.06 MB)
51. EDD in Python.mp4 (77.58 MB)
52. Outlier Treatment in Python.mp4 (47.34 MB)
53. Missing Value Imputation in Python.mp4 (22.55 MB)
54. Variable transformation and Deletion in Python.mp4 (29.23 MB)
55. Dummy variable creation in Python.mp4 (26.38 MB)
56. Why can't we use Linear Regression.mp4 (16.93 MB)
57. Logistic Regression.mp4 (32.92 MB)
58. Training a Simple Logistic Model in Python.mp4 (47.86 MB)
59. Result of Simple Logistic Regression.mp4 (26.93 MB)
6. Introduction to Jupyter.mp4 (40.91 MB)
60. Logistic with multiple predictors.mp4 (8.53 MB)
61. Training multiple predictor Logistic model in Python.mp4 (26.23 MB)
62. Confusion Matrix.mp4 (21.11 MB)
63. Creating Confusion Matrix in Python.mp4 (51.28 MB)
64. Evaluating performance of model.mp4 (35.16 MB)
65. Evaluating model performance in Python.mp4 (9.01 MB)
66. Test Train Split.mp4 (39.28 MB)
67. Test Train Split in Python.mp4 (33.09 MB)
68. The final milestone!.mp4 (11.85 MB)
7. Arithmetic operators in Python Python Basics.mp4 (12.74 MB)
8. Strings in Python Python Basics.mp4 (64.43 MB)
9. Lists, Tuples and Directories Python Basics.mp4 (60.32 MB)

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