FreeCourseWeb Udemy Machine Learning Basics Building Regression Model in Python

FreeCourseWeb Udemy Machine Learning Basics Building Regression Model in Python

Name	[ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.9 GB
Total Files	122
Hash	914B049C271A77AB99370BD3E82C7C2E8ED6B17D

/6. Linear Regression/
18. Ridge regression and Lasso in Python.mp4	164.2 MB
1. The Problem Statement.mp4	11.2 MB
1. The Problem Statement.vtt	1.5 KB
2. Basic Equations and Ordinary Least Squares (OLS) method.mp4	52.7 MB
2. Basic Equations and Ordinary Least Squares (OLS) method.vtt	8.9 KB
3. Simple Linear Regression in Python.mp4	82.5 MB
3. Simple Linear Regression in Python.vtt	10.1 KB
4. Project Exercise 8.html	0.3 KB
5. Assessing accuracy of predicted coefficients.mp4	109.5 MB
5. Assessing accuracy of predicted coefficients.vtt	14.3 KB
6. Assessing Model Accuracy RSE and R squared.mp4	52.1 MB
6. Assessing Model Accuracy RSE and R squared.vtt	7.2 KB
7. Multiple Linear Regression.mp4	40.8 MB
7. Multiple Linear Regression.vtt	5.2 KB
8. The F - statistic.mp4	67.2 MB
8. The F - statistic.vtt	8.2 KB
9. Interpreting results of Categorical variables.mp4	28.4 MB
9. Interpreting results of Categorical variables.vtt	4.8 KB
10. Multiple Linear Regression in Python.mp4	92.4 MB
10. Multiple Linear Regression in Python.vtt	11.1 KB
11. Project Exercise 9.html	0.3 KB
12. Test-train split.mp4	51.5 MB
13. Bias Variance trade-off.mp4	31.0 MB
14. Test train split in Python.mp4	60.6 MB
15. Linear models other than OLS.mp4	20.1 MB
15. Linear models other than OLS.vtt	4.0 KB
16. Subset selection techniques.mp4	91.4 MB
16. Subset selection techniques.vtt	11.5 KB
17. Shrinkage methods Ridge and Lasso.mp4	40.5 MB
17. Shrinkage methods Ridge and Lasso.vtt	7.3 KB
19. Project Exercise 10.html	0.4 KB
20. Final Project Exercise.html	0.3 KB
20.1 Movie_collection_test.csv.csv	12.0 KB
21. Course Conclusion.html	1.7 KB
/
How to Support [ FreeCourseWeb.com ] for Free.txt	0.3 KB
Torrent Downloaded From GloDls.to.txt	0.1 KB
[ FreeCourseWeb.com ] Support Us.url	0.2 KB
/1. Introduction/
1. Welcome to the course!.mp4	17.1 MB
1. Welcome to the course!.vtt	2.7 KB
2. Course contents.mp4	50.2 MB
/2. Basics of Statistics/
1. Types of Data.mp4	27.1 MB
1. Types of Data.vtt	4.4 KB
2. Types of Statistics.mp4	13.9 MB
2. Types of Statistics.vtt	2.7 KB
3. Describing data Graphically.mp4	86.2 MB
3. Describing data Graphically.vtt	11.6 KB
4. Measures of Centers.mp4	47.9 MB
4. Measures of Centers.vtt	6.6 KB
5. Practice Exercise 1.html	0.4 KB
5.1 Exercise 1.pdf.pdf	567.1 KB
6. Measures of Dispersion.mp4	29.8 MB
6. Measures of Dispersion.vtt	4.8 KB
7. Practice Exercise 2.html	0.3 KB
7.1 Exercise 2.pdf.pdf	481.2 KB
/3. Setting up Python and Jupyter Notebook/
1. Installing Python and Anaconda.mp4	19.5 MB
1. Installing Python and Anaconda.vtt	2.3 KB
2. Opening Jupyter Notebook.mp4	76.6 MB
2. Opening Jupyter Notebook.vtt	8.2 KB
3. Introduction to Jupyter.mp4	53.8 MB
3. Introduction to Jupyter.vtt	11.0 KB
4. Arithmetic operators in Python Python Basics.mp4	16.7 MB
4. Arithmetic operators in Python Python Basics.vtt	3.6 KB
5. Strings in Python Python Basics.mp4	84.5 MB
5. Strings in Python Python Basics.vtt	14.6 KB
6. Lists, Tuples and Directories Python Basics.mp4	77.3 MB
6. Lists, Tuples and Directories Python Basics.vtt	15.0 KB
7. Working with Numpy Library of Python.mp4	56.8 MB
7. Working with Numpy Library of Python.vtt	9.3 KB
8. Working with Panda Library of Python.mp4	59.2 MB
8. Working with Panda Library of Python.vtt	7.4 KB
9. Working with Seaborn Library of Python.mp4	51.2 MB
/4. Introduction to Machine Learning/
1. Introduction to Machine Learning.mp4	129.9 MB
1. Introduction to Machine Learning.vtt	16.7 KB
2. Building a Machine Learning Model.mp4	47.5 MB
2. Building a Machine Learning Model.vtt	8.8 KB
3. Introduction to Machine learning quiz.html	0.2 KB
/5. Data Preprocessing/
1. Gathering Business Knowledge.mp4	26.3 MB
1. Gathering Business Knowledge.vtt	3.5 KB
2. Data Exploration.mp4	24.5 MB
2. Data Exploration.vtt	3.3 KB
3. The Dataset and the Data Dictionary.mp4	82.4 MB
3. The Dataset and the Data Dictionary.vtt	7.1 KB
3.1 House_Price.csv.csv	54.8 KB
4. Importing Data in Python.mp4	34.0 MB
4. Importing Data in Python.vtt	5.0 KB
4.1 House_Price.csv.csv	54.8 KB
5. Project exercise 1.html	0.4 KB
5.1 Movie_collection_train.csv.csv	44.4 KB
6. Univariate analysis and EDD.mp4	28.6 MB
6. Univariate analysis and EDD.vtt	3.2 KB
7. EDD in Python.mp4	78.7 MB
7. EDD in Python.vtt	9.2 KB
8. Project Exercise 2.html	0.2 KB
9. Outlier Treatment.mp4	29.1 MB
9. Outlier Treatment.vtt	4.1 KB
10. Outlier Treatment in Python.mp4	90.8 MB
10. Outlier Treatment in Python.vtt	11.4 KB
11. Project Exercise 3.html	0.2 KB
12. Missing Value Imputation.mp4	28.9 MB
12. Missing Value Imputation.vtt	3.7 KB
13. Missing Value Imputation in Python.mp4	30.0 MB
13. Missing Value Imputation in Python.vtt	3.7 KB
14. Project Exercise 4.html	0.2 KB
15. Seasonality in Data.mp4	21.9 MB
15. Seasonality in Data.vtt	3.4 KB
16. Bi-variate analysis and Variable transformation.mp4	119.3 MB
16. Bi-variate analysis and Variable transformation.vtt	16.5 KB
17. Variable transformation and deletion in Python.mp4	56.0 MB
17. Variable transformation and deletion in Python.vtt	6.6 KB
18. Project Exercise 5.html	0.3 KB
19. Non-usable variables.mp4	25.1 MB
19. Non-usable variables.vtt	4.9 KB
20. Dummy variable creation Handling qualitative data.mp4	42.6 MB
20. Dummy variable creation Handling qualitative data.vtt	4.4 KB
21. Dummy variable creation in Python.mp4	35.5 MB
21. Dummy variable creation in Python.vtt	4.9 KB
22. Project Exercise 6.html	0.2 KB
23. Correlation Analysis.mp4	85.2 MB
23. Correlation Analysis.vtt	10.0 KB
24. Correlation Analysis in Python.mp4	71.3 MB
24. Correlation Analysis in Python.vtt	6.0 KB
25. Project Exercise 7.html	0.3 KB
Total files 122