Download Logistic Regression in Python Torrent

Torrent Contents Size: 3 GB

Logistic Regression in Python

Bonus Resources.txt

TXT

102.4 B

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204.8 B

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1 - Introduction

1 - 00-Introduction-01-py.pdf

PDF

472.2 KB

1 - Welcome To The Course.mp4

MP4

25.3 MB

2 - Course Resources.html

HTML

102.4 B

Logistic Regression in Python

Data Files

Customer.csv

CSV

64 KB

House-Price.csv

CSV

50.6 KB

Others

Classification.ipynb

IPYNB

171.7 KB

Presentation

02_whynot_linear.pdf

PDF

155.3 KB

03_logistic.pdf

PDF

352.7 KB

04_.pdf

PDF

165.3 KB

04_P_value.pdf

PDF

228 KB

05_Multiple_predictors.pdf

PDF

151.3 KB

06_Confusion matrix.pdf

PDF

222.3 KB

07_LDA.pdf

PDF

183.1 KB

08_ROC.pdf

PDF

306.9 KB

09_KNN.pdf

PDF

236.7 KB

10 - Knearest Neighbors Classifier

11 - Understanding The Results

12 - Appendix 1 Linear Regression In Python

76 - The Problem Statement.mp4

MP4

14.2 MB

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

MP4

65.1 MB

78 - Assessing Accuracy Of Predicted Coefficients.mp4

MP4

139.8 MB

79 - Assessing Model Accuracy Rse And R Squared.mp4

MP4

66.6 MB

80 - Simple Linear Regression In Python.mp4

MP4

89.7 MB

81 - Multiple Linear Regression.mp4

MP4

52.4 MB

82 - The F Statistic.mp4

MP4

86.7 MB

83 - Interpreting Results Of Categorical Variables.mp4

MP4

33.6 MB

84 - Multiple Linear Regression In Python.mp4

MP4

100.8 MB

85 - Loan-Log.ipynb

IPYNB

127.3 KB

85 - Practical Task 1.html

HTML

1 KB

86 - Practical Task 2.html

HTML

1.1 KB

87 - Practical Task 3.html

HTML

3.3 KB

88 - Comprehensive Interview Preparation Questions.html

HTML

1.4 KB

ML Practical task 3

ML Task 1

Loan.ipynb

IPYNB

213 KB

Loan.xlsx

XLSX

25.6 KB

Loan.xlsx - loan_data.csv

CSV

19.8 KB

ML Task 2

13 - Congratulations About Your Certificate

2 - Introduction To Machine Learning

3 - Basics Of Statistics

10 - Exercise-1.pdf

PDF

553.8 KB

10 - Practice Exercise 1.html

HTML

307.2 B

11 - Measures Of Dispersion.mp4

MP4

14.4 MB

12 - Exercise-2.pdf

PDF

469.9 KB

12 - Practice Exercise 2.html

HTML

307.2 B

4 - Setting Up Python And Jupyter Notebook

13 - Installing Python And Anaconda.mp4

MP4

15.3 MB

14 - Opening Jupyter Notebook.mp4

MP4

54.7 MB

15 - Introduction To Jupyter.mp4

MP4

36.4 MB

16 - Arithmetic Operators In Python Python Basics.mp4

MP4

10.5 MB

17 - Strings In Python Python Basics.mp4

MP4

81.4 MB

18 - Lists Part 1.mp4

MP4

11.3 MB

19 - Lists Part 2.mp4

MP4

13.4 MB

20 - Tuples And Dictionaries.mp4

MP4

13 MB

5 - Important Python Libraries

21 - Working With Numpy Library Of Python.mp4

MP4

52.9 MB

22 - Customer.csv

CSV

64 KB

22 - Working With Pandas Library Of Python.mp4

MP4

55.9 MB

23 - Working With Seaborn Library Of Python.mp4

MP4

61.7 MB

24 - Python File For Additional Practice.html

HTML

307.2 B

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

IPYNB

80.2 KB

25 - About The Upcoming Role Play.html

HTML

1.1 KB

6 - Data Preprocessing

26 - Gathering Business Knowledge.mp4

MP4

8.7 MB

27 - Data Exploration.mp4

MP4

14.6 MB

28 - House-Price.csv

CSV

50.6 KB

28 - The Dataset And The Data Dictionary.mp4

MP4

127.4 MB

29 - Data Import In Python.mp4

MP4

35.5 MB

29 - House-Price.csv

CSV

50.6 KB

30 - Movie-collection.csv

CSV

55.8 KB

30 - Project Exercise 1.html

HTML

512 B

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

PDF

333.4 KB

31 - Univariate Analysis And Edd.mp4

MP4

19 MB

32 - Edd In Python.mp4

MP4

123.8 MB

33 - Project Exercise 2.html

HTML

204.8 B

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

PDF

355.1 KB

34 - Outlier Treatment.mp4

MP4

16.2 MB

35 - Outlier Treatment In Python.mp4

MP4

76.5 MB

36 - Project Exercise 3.html

HTML

204.8 B

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

PDF

315.7 KB

37 - Missing Value Imputation.mp4

MP4

15.4 MB

38 - Missing Value Imputation In Python.mp4

MP4

34.5 MB

39 - Project Exercise 4.html

HTML

204.8 B

40 - 04-07-PDE-Seasonality.pdf

PDF

364.1 KB

40 - Seasonality In Data.mp4

MP4

12.3 MB

41 - 04-07-Variable-Transformation.pdf

PDF

456.1 KB

41 - Variable Transformation.mp4

MP4

22.1 MB

42 - Variable Transformation And Deletion In Python.mp4

MP4

39.9 MB

43 - Project Exercise 5.html

HTML

204.8 B

44 - 04-11-Dummy-Var.pdf

PDF

163 KB

44 - Dummy Variable Creation Handling Qualitative Data.mp4

MP4

21.7 MB

45 - Dummy Variable Creation In Python.mp4

MP4

43.7 MB

46 - Project Exercise 6.html

HTML

204.8 B

7 - Classification Models

47 - 01-INtro.pdf

PDF

190.4 KB

47 - Three Classifiers And The Problem Statement.mp4

MP4

31.8 MB

48 - 02-whynot-linear.pdf

PDF

155.3 KB

48 - Why Cant We Use Linear Regression.mp4

MP4

28 MB

49 - 03-logistic.pdf

PDF

352.7 KB

49 - Logistic Regression.mp4

MP4

55 MB

50 - Training A Simple Logistic Model In Python.mp4

MP4

76.1 MB

51 - Project Exercise 7.html

HTML

307.2 B

52 - 04-P-value.pdf

PDF

228 KB

52 - Result Of Simple Logistic Regression.mp4

MP4

44.3 MB

53 - 05-Multiple-predictors.pdf

PDF

151.3 KB

53 - Logistic With Multiple Predictors.mp4

MP4

13.6 MB

54 - Training Multiple Predictor Logistic Model In Python.mp4

MP4

40.9 MB

55 - Project Exercise 8.html

HTML

307.2 B

56 - 06-Confusion-matrix.pdf

PDF

222.3 KB

56 - Confusion Matrix.mp4

MP4

40.1 MB

57 - Creating Confusion Matrix In Python.mp4

MP4

75.4 MB

58 - 08-ROC.pdf

PDF

306.9 KB

58 - Evaluating Performance Of Model.mp4

MP4

60.1 MB

59 - Evaluating Model Performance In Python.mp4

MP4

14.4 MB

60 - Project Exercise 9.html

HTML

204.8 B

8 - Linear Discriminant Analysis Lda

61 - 07-LDA.pdf

PDF

183.1 KB

61 - Linear Discriminant Analysis.mp4

MP4

67.7 MB

62 - Lda In Python.mp4

MP4

17 MB

63 - Project Exercise 10.html

HTML

204.8 B

9 - Testtrain Split

64 - 10-Test-Train.pdf	PDF	238.7 KB
64 - Testtrain Split.mp4	MP4	64.6 MB
65 - More About Testtrain Split.html	HTML	512 B
66 - Testtrain Split In Python.mp4	MP4	52.4 MB
67 - Project Exercise 11.html	HTML	204.8 B

6 - 01-01-Lecture-TypesOfData.pdf

PDF

177.7 KB

6 - Types Of Data.mp4

MP4

20.7 MB

7 - 01-02-Lecture-TypesOfStatistics.pdf

PDF

171.7 KB

7 - Types Of Statistics.mp4

MP4

7.9 MB

8 - 01-03-Lecture-DataSummaryandGraph.pdf

PDF

317.9 KB

8 - Describing Data Graphically.mp4

MP4

61.5 MB

9 - 01-04-Lecture-Centers.pdf

PDF

313 KB

9 - Measures Of Centers.mp4

MP4

29.8 MB

3 - Introduction To Machine Learning.mp4

MP4

145.6 MB

3 - Lecture-machineLearning.pdf

PDF

991.6 KB

4 - This Is A Milestone.mp4

MP4

70.7 MB

5 - Building A Machine Learning Model.mp4

MP4

27.7 MB

89 - The Final Milestone.mp4

MP4

8.4 MB

90 - About Your Certificate.html

HTML

921.6 B

91 - Bonus Lecture.html

HTML

9.1 KB

OnlineFood.ipynb

IPYNB

1 MB

onlinefoods.xlsx - onlinefoods.csv

CSV

21.2 KB

Restaurant_revenue (1).csv

CSV

88.3 KB

Resutrants.ipynb

IPYNB

2 MB

72 - 11-results.pdf

PDF

170.9 KB

72 - Understanding The Results Of Classification Models.mp4

MP4

67 MB

73 - 12-steps.pdf

PDF

148.1 KB

73 - Summary Of The Three Models.mp4

MP4

35.6 MB

74 - The Final Exercise.html

HTML

1.8 KB

74 - weekly.csv

CSV

60.1 KB

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

HTML

4.6 KB

68 - 09-KNN.pdf

PDF

236.7 KB

68 - Knearest Neighbors Classifier.mp4

MP4

120.4 MB

69 - Knearest Neighbors In Python Part 1.mp4

MP4

56.2 MB

70 - Knearest Neighbors In Python Part 2.mp4

MP4

64.4 MB

71 - Project Exercise 12.html

HTML

204.8 B

10_Test_Train.pdf

PDF

238.7 KB

11_results.pdf

PDF

170.9 KB

12_steps.pdf

PDF

148.1 KB

Python_CrashC1.ipynb

IPYNB

29.6 KB

Python_cc2.ipynb

IPYNB

169.5 KB

Product.txt

TXT

139.5 KB

Description

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