UDEMY Linear Regression and Logistic Regression in Python BOOKWARE-iLEARN

25M	1. Introduction.mp4
44M	10. Working with Numpy Library of Python.mp4
47M	11. Working with Pandas Library of Python.mp4
41M	12. Working with Seaborn Library of Python.mp4
22M	13. Types of Data.mp4
11M	14. Types of Statistics.mp4
66M	15. Describing data Graphically.mp4
39M	16. Measures of Centers.mp4
23M	17. Measures of Dispersion.mp4
15M	18. Gathering Business Knowledge.mp4
21M	19. Data Exploration.mp4
70M	20. The Dataset and the Data Dictionary.mp4
28M	21. Importing Data in Python.mp4
25M	22. Univariate analysis and EDD.mp4
62M	23. EDD in Python.mp4
25M	24. Outlier Treatment.mp4
71M	25. Outlier Treatment in Python.mp4
25M	26. Missing Value Imputation.mp4
24M	27. Missing Value Imputation in Python.mp4
18M	28. Seasonality in Data.mp4
101M	29. Bi-variate analysis and Variable transformation.mp4
17M	3. Installing Python and Anaconda.mp4
45M	30. Variable transformation and deletion in Python.mp4
21M	31. Non-usable variables.mp4
37M	32. Dummy variable creation Handling qualitative data.mp4
27M	33. Dummy variable creation in Python.mp4
72M	34. Correlation Analysis.mp4
56M	35. Correlation Analysis in Python.mp4
9.4M	36. The Problem Statement.mp4
44M	37. Basic Equations and Ordinary Least Squares (OLS) method.mp4
93M	38. Assessing accuracy of predicted coefficients.mp4
44M	39. Assessing Model Accuracy RSE and R squared.mp4
21M	4. This is a milestone!.mp4
64M	40. Simple Linear Regression in Python.mp4
35M	41. Multiple Linear Regression.mp4
57M	42. The F - statistic.mp4
23M	43. Interpreting results of Categorical variables.mp4
70M	44. Multiple Linear Regression in Python.mp4
42M	45. Test-train split.mp4
26M	46. Bias Variance trade-off.mp4
45M	48. Test train split in Python.mp4
80M	49. The Dataset and the Data Dictionary.mp4
66M	5. Opening Jupyter Notebook.mp4
23M	50. Data Import in Python.mp4
78M	51. EDD in Python.mp4
48M	52. Outlier Treatment in Python.mp4
23M	53. Missing Value Imputation in Python.mp4
30M	54. Variable transformation and Deletion in Python.mp4
27M	55. Dummy variable creation in Python.mp4
17M	56. Why can't we use Linear Regression.mp4
33M	57. Logistic Regression.mp4
48M	58. Training a Simple Logistic Model in Python.mp4
27M	59. Result of Simple Logistic Regression.mp4
41M	6. Introduction to Jupyter.mp4
8.6M	60. Logistic with multiple predictors.mp4
27M	61. Training multiple predictor Logistic model in Python.mp4
22M	62. Confusion Matrix.mp4
52M	63. Creating Confusion Matrix in Python.mp4
36M	64. Evaluating performance of model.mp4
9.1M	65. Evaluating model performance in Python.mp4
40M	66. Test-Train Split.mp4
34M	67. Test-Train Split in Python.mp4
12M	68. The final milestone!.mp4
13M	7. Arithmetic operators in Python Python Basics.mp4
65M	8. Strings in Python Python Basics.mp4
61M	9. Lists, Tuples and Directories Python Basics.mp4
2.5G	total