Udemy - Complete Linear Regression Analysis in Python [FCS]

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1. Introduction
  • 1. Welcome to the course!.mp4 (16.3 MB)
  • 1. Welcome to the course!.srt (3.5 KB)
  • 2. Course contents.mp4 (47.8 MB)
  • 2. Course contents.srt (9.5 KB)
  • 2.1 00_Introduction_01.pdf (801.5 KB)
  • 3. Course Resources.html (0.3 KB)
  • 4. This is a milestone!.mp4 (20.7 MB)
  • 4. This is a milestone!.srt (3.8 KB)
2. Setting up Python and Jupyter Notebook
  • 1. Installing Python and Anaconda.mp4 (18.6 MB)
  • 1. Installing Python and Anaconda.srt (2.5 KB)
  • 2. Opening Jupyter Notebook.mp4 (73.1 MB)
  • 2. Opening Jupyter Notebook.srt (8.9 KB)
  • 3. Introduction to Jupyter.mp4 (51.3 MB)
  • 3. Introduction to Jupyter.srt (12.4 KB)
  • 4. Arithmetic operators in Python Python Basics.mp4 (15.9 MB)
  • 4. Arithmetic operators in Python Python Basics.srt (4.2 KB)
  • 5. Strings in Python Python Basics.mp4 (80.6 MB)
  • 5. Strings in Python Python Basics.srt (16.9 KB)
  • 6. Lists, Tuples and Directories Python Basics.mp4 (73.7 MB)
  • 6. Lists, Tuples and Directories Python Basics.srt (17.6 KB)
  • 7. Working with Numpy Library of Python.mp4 (54.1 MB)
  • 7. Working with Numpy Library of Python.srt (10.9 KB)
  • 8. Working with Pandas Library of Python.mp4 (56.5 MB)
  • 8. Working with Pandas Library of Python.srt (8.8 KB)
  • 8.1 Customer.csv (64.0 KB)
  • 9. Working with Seaborn Library of Python.mp4 (48.9 MB)
  • 9. Working with Seaborn Library of Python.srt (7.3 KB)
3. Basics of Statistics
  • 1. Types of Data.mp4 (21.8 MB)
  • 1. Types of Data.srt (5.0 KB)
  • 1.1 01_01_Lecture_TypesOfData.pdf (177.7 KB)
  • 2. Types of Statistics.mp4 (10.9 MB)
  • 2. Types of Statistics.srt (3.2 KB)
  • 2.1 01_02_Lecture_TypesOfStatistics.pdf (171.7 KB)
  • 3. Describing data Graphically.mp4 (65.4 MB)
  • 3. Describing data Graphically.srt (12.8 KB)
  • 3.1 01_03_Lecture_DataSummaryandGraph.pdf (317.9 KB)
  • 4. Measures of Centers.mp4 (38.6 MB)
  • 4. Measures of Centers.srt (7.9 KB)
  • 4.1 01_04_Lecture_Centers.pdf (323.0 KB)
  • 5. Practice Exercise 1.html (0.3 KB)
  • 5.1 Exercise 1.pdf (553.8 KB)
  • 6. Measures of Dispersion.mp4 (22.9 MB)
  • 6. Measures of Dispersion.srt (5.2 KB)
  • 7. Practice Exercise 2.html (0.3 KB)
  • 7.1 Exercise 2.pdf (469.9 KB)
4. Introduction to Machine Learning
  • 1. Introduction to Machine Learning.mp4 (123.9 MB)
  • 1. Introduction to Machine Learning.srt (18.6 KB)
  • 1.1 Lecture_machineLearning.pdf (991.6 KB)
  • 2. Building a Machine Learning Model.mp4 (45.3 MB)
  • 2. Building a Machine Learning Model.srt (9.9 KB)
  • 2.1 Lecture_machineLearning.pdf (1,001.6 KB)
  • 3. Introduction to Machine learning quiz.html (0.2 KB)
5. Data Preprocessing
  • 1. Gathering Business Knowledge.mp4 (25.1 MB)
  • 1. Gathering Business Knowledge.srt (4.0 KB)
  • 1.1 03_01_PDE_Business_knowledge.pdf (153.9 KB)
  • 10. Outlier Treatment in Python.mp4 (86.6 MB)
  • 10. Outlier Treatment in Python.srt (12.7 KB)
  • 11. Project Exercise 3.html (0.2 KB)
  • 12. Missing Value Imputation.mp4 (27.6 MB)
  • 12. Missing Value Imputation.srt (4.1 KB)
  • 12.1 04_05_PDE_Missing_value.pdf (315.7 KB)
  • 13. Missing Value Imputation in Python.mp4 (28.6 MB)
  • 13. Missing Value Imputation in Python.srt (4.1 KB)
  • 14. Project Exercise 4.html (0.2 KB)
  • 15. Seasonality in Data.mp4 (20.9 MB)
  • 15. Seasonality in Data.srt (3.8 KB)
  • 15.1 04_07_PDE_Seasonality.pdf (364.1 KB)
  • 16. Bi-variate analysis and Variable transformation.mp4 (113.7 MB)
  • 16. Bi-variate analysis and Variable transformation.srt (18.5 KB)
  • 16.1 04_07_Variable_Transformation.pdf (422.8 KB)
  • 17. Variable transformation and deletion in Python.mp4 (53.4 MB)
  • 17. Variable transformation and deletion in Python.srt (7.5 KB)
  • 18. Project Exercise 5.html (0.3 KB)
  • 19. Non-usable variables.mp4 (23.9 MB)
  • 19. Non-usable variables.srt (5.7 KB)
  • 19.1 04_08_PDE_Non_Usable_var.pdf (138.3 KB)
  • 2. Data Exploration.mp4 (23.4 MB)
  • 2. Data Exploration.srt (3.7 KB)
  • 2.1 03_02_PDE_Data_exploration.pdf (322.9 KB)
  • 20. Dummy variable creation Handling qualitative data.mp4 (40.6 MB)
  • 20. Dummy variable creation Handling qualitative data.srt (5.3 KB)
  • 20.1 04_11_Dummy_Var.pdf (163.0 KB)
  • 21. Dummy variable creation in Python.mp4 (33.9 MB)
  • 21. Dummy variable creation in Python.srt (5.3 KB)
  • 22. Project Exercise 6.html (0.2 KB)
  • 23. Correlation Analysis.mp4 (81.3 MB)
  • 23. Correlation Analysis.srt (11.7 KB)
  • 23.1 04_10_Correlation.pdf (266.9 KB)
  • 24. Correlation Analysis in Python.mp4 (68.0 MB)
  • 24. Correlation Analysis in Python.srt (6.7 KB)
  • 25. Project Exercise 7.html (0.3 KB)
  • 26. Quiz.html (0.2 KB)
  • 3. The Dataset and the Data Dictionary.mp4 (78.6 MB)
  • 3. The Dataset and the Data Dictionary.srt (8.1 KB)
  • 3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf (332.0 KB)
  • 3.2 House_Price.csv (53.5 KB)
  • 4. Importing Data in Python.mp4 (32.5 MB)
  • 4. Importing Data in Python.srt (5.6 KB)
  • 4.1 House_Price.csv (53.5 KB)
  • 5. Project exercise 1.html (0.4 KB)
  • 5.1 Movie_collection_train.csv (43.3 KB)
  • 6. Univariate analysis and EDD.mp4 (27.3 MB)
  • 6. Univariate analysis and EDD.srt (3.7 KB)
  • 6.1 03_04_PDE_Univariate_Analysis_Uni.pdf (333.4 KB)
  • 7. EDD in Python.mp4 (75.1 MB)
  • 7. EDD in Python.

Description

Udemy - Complete Linear Regression Analysis in Python [FCS]

Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also

Created by Start-Tech Academy
Last updated 11/2021
English
English [Auto]

For more Udemy Courses: https://freecoursesite.com
Our Forum for Discussion: https://forum.freecoursesite.com



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Udemy - Complete Linear Regression Analysis in Python [FCS]

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Download torrent
2.7 GB
seeders:13
leechers:7
Udemy - Complete Linear Regression Analysis in Python [FCS]

Torrent hash: B9375CA495EEA673E1807AE38FB7C41B62CB31C5