WebToolTip com Logistic Regression in Python

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/1 - Introduction/

1 - 00-Introduction-01-py.pdf

1 - Welcome To The Course.mp4

2 - Course Resources.html

/.../Logistic Regression in Python/Data Files/

Customer.csv

House-Price.csv

Product.txt

/.../Logistic Regression in Python/Others/

Classification.ipynb

Python_CrashC1.ipynb

Python_cc2.ipynb

/.../Logistic Regression in Python/Presentation/

02_whynot_linear.pdf

03_logistic.pdf

04_.pdf

04_P_value.pdf

05_Multiple_predictors.pdf

06_Confusion matrix.pdf

07_LDA.pdf

08_ROC.pdf

09_KNN.pdf

10_Test_Train.pdf

11_results.pdf

12_steps.pdf

/.../10 - Knearest Neighbors Classifier/

68 - 09-KNN.pdf

68 - Knearest Neighbors Classifier.mp4

69 - Knearest Neighbors In Python Part 1.mp4

70 - Knearest Neighbors In Python Part 2.mp4

71 - Project Exercise 12.html

/.../11 - Understanding The Results/

72 - 11-results.pdf

72 - Understanding The Results Of Classification Models.mp4

73 - 12-steps.pdf

73 - Summary Of The Three Models.mp4

74 - The Final Exercise.html

74 - weekly.csv

75 - New Ai Features In Python The Latest Updates You Must Know.html

/.../12 - Appendix 1 Linear Regression In Python/

76 - The Problem Statement.mp4

77 - Basic Equations And Ordinary Least Squares Ols Method.mp4

78 - Assessing Accuracy Of Predicted Coefficients.mp4

79 - Assessing Model Accuracy Rse And R Squared.mp4

80 - Simple Linear Regression In Python.mp4

81 - Multiple Linear Regression.mp4

82 - The F Statistic.mp4

83 - Interpreting Results Of Categorical Variables.mp4

84 - Multiple Linear Regression In Python.mp4

85 - Loan-Log.ipynb

85 - Practical Task 1.html

86 - Practical Task 2.html

87 - Practical Task 3.html

88 - Comprehensive Interview Preparation Questions.html

/.../ML Practical task 3/

Restaurant_revenue (1).csv

Resutrants.ipynb

/.../12 - Appendix 1 Linear Regression In Python/ML Task 1/

Loan.ipynb

Loan.xlsx

Loan.xlsx - loan_data.csv

/.../12 - Appendix 1 Linear Regression In Python/ML Task 2/

OnlineFood.ipynb

onlinefoods.xlsx - onlinefoods.csv

/.../13 - Congratulations About Your Certificate/

89 - The Final Milestone.mp4

90 - About Your Certificate.html

91 - Bonus Lecture.html

/.../2 - Introduction To Machine Learning/

3 - Introduction To Machine Learning.mp4

3 - Lecture-machineLearning.pdf

4 - This Is A Milestone.mp4

5 - Building A Machine Learning Model.mp4

/.../3 - Basics Of Statistics/

10 - Exercise-1.pdf

10 - Practice Exercise 1.html

11 - Measures Of Dispersion.mp4

12 - Exercise-2.pdf

12 - Practice Exercise 2.html

6 - 01-01-Lecture-TypesOfData.pdf

6 - Types Of Data.mp4

7 - 01-02-Lecture-TypesOfStatistics.pdf

7 - Types Of Statistics.mp4

8 - 01-03-Lecture-DataSummaryandGraph.pdf

8 - Describing Data Graphically.mp4

9 - 01-04-Lecture-Centers.pdf

9 - Measures Of Centers.mp4

/.../4 - Setting Up Python And Jupyter Notebook/

13 - Installing Python And Anaconda.mp4

14 - Opening Jupyter Notebook.mp4

15 - Introduction To Jupyter.mp4

16 - Arithmetic Operators In Python Python Basics.mp4

17 - Strings In Python Python Basics.mp4

18 - Lists Part 1.mp4

19 - Lists Part 2.mp4

20 - Tuples And Dictionaries.mp4

/.../5 - Important Python Libraries/

21 - Working With Numpy Library Of Python.mp4

22 - Customer.csv

22 - Working With Pandas Library Of Python.mp4

23 - Working With Seaborn Library Of Python.mp4

24 - Python File For Additional Practice.html

24 - Reference-Guide-for-Python-practice.ipynb

25 - About The Upcoming Role Play.html

/6 - Data Preprocessing/

26 - Gathering Business Knowledge.mp4

27 - Data Exploration.mp4

28 - House-Price.csv

28 - The Dataset And The Data Dictionary.mp4

29 - Data Import In Python.mp4

29 - House-Price.csv

30 - Movie-collection.csv

30 - Project Exercise 1.html

31 - 03-04-PDE-Univariate-Analysis-Uni.pdf

31 - Univariate Analysis And Edd.mp4

32 - Edd In Python.mp4

33 - Project Exercise 2.html

34 - 04-06-PDE-Outlier-Treatment.pdf

34 - Outlier Treatment.mp4

35 - Outlier Treatment In Python.mp4

36 - Project Exercise 3.html

37 - 04-05-PDE-Missing-value.pdf

37 - Missing Value Imputation.mp4

38 - Missing Value Imputation In Python.mp4

39 - Project Exercise 4.html

40 - 04-07-PDE-Seasonality.pdf

40 - Seasonality In Data.mp4

41 - 04-07-Variable-Transformation.pdf

41 - Variable Transformation.mp4

42 - Variable Transformation And Deletion In Python.mp4

43 - Project Exercise 5.html

44 - 04-11-Dummy-Var.pdf

44 - Dummy Variable Creation Handling Qualitative Data.mp4

45 - Dummy Variable Creation In Python.mp4

46 - Project Exercise 6.html

/7 - Classification Models/

47 - 01-INtro.pdf

47 - Three Classifiers And The Problem Statement.mp4

48 - 02-whynot-linear.pdf

48 - Why Cant We Use Linear Regression.mp4

49 - 03-logistic.pdf

49 - Logistic Regression.mp4

50 - Training A Simple Logistic Model In Python.mp4

51 - Project Exercise 7.html

52 - 04-P-value.pdf

52 - Result Of Simple Logistic Regression.mp4

53 - 05-Multiple-predictors.pdf

53 - Logistic With Multiple Predictors.mp4

54 - Training Multiple Predictor Logistic Model In Python.mp4

55 - Project Exercise 8.html

56 - 06-Confusion-matrix.pdf

56 - Confusion Matrix.mp4

57 - Creating Confusion Matrix In Python.mp4

58 - 08-ROC.pdf

58 - Evaluating Performance Of Model.mp4

59 - Evaluating Model Performance In Python.mp4

60 - Project Exercise 9.html

/.../8 - Linear Discriminant Analysis Lda/

61 - 07-LDA.pdf

61 - Linear Discriminant Analysis.mp4

62 - Lda In Python.mp4

63 - Project Exercise 10.html

/9 - Testtrain Split/

64 - 10-Test-Train.pdf

64 - Testtrain Split.mp4

65 - More About Testtrain Split.html

66 - Testtrain Split In Python.mp4

67 - Project Exercise 11.html

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Bonus Resources.txt

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