FreeCourseWeb Udemy Machine Learning Basics Building Regression model in

FreeCourseWeb Udemy Machine Learning Basics Building Regression model in

Name	[ FreeCourseWeb ] Udemy - Machine Learning Basics- Building a Regression model in R	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.0 GB
Total Files	129
Hash	7E92BBEDA65A72B19FB72B31BCCE6F05505D10F7

/6. Linear Regression Model/
20. Ridge regression and Lasso in R.mp4	130.3 MB
1. The problem statement.mp4	11.2 MB
1. The problem statement.vtt	1.5 KB
2. Basic equations and Ordinary Least Squared (OLS) method.mp4	52.7 MB
2. Basic equations and Ordinary Least Squared (OLS) method.vtt	8.9 KB
3. Assessing Accuracy of predicted coefficients.mp4	109.5 MB
3. Assessing Accuracy of predicted coefficients.vtt	14.3 KB
4. Assessing Model Accuracy - RSE and R squared.mp4	52.1 MB
4. Assessing Model Accuracy - RSE and R squared.vtt	7.2 KB
5. Simple Linear Regression in R.mp4	53.0 MB
5. Simple Linear Regression in R.vtt	7.3 KB
6. Project Exercise 8.html	0.3 KB
7. Multiple Linear Regression.mp4	40.8 MB
7. Multiple Linear Regression.vtt	5.2 KB
8. The F - statistic.mp4	67.3 MB
8. The F - statistic.vtt	8.2 KB
9. Interpreting result for categorical Variable.mp4	28.5 MB
9. Interpreting result for categorical Variable.vtt	4.8 KB
10. Multiple Linear Regression in R.mp4	76.6 MB
10. Multiple Linear Regression in R.vtt	7.3 KB
11. Project Exercise 9.html	0.3 KB
12. Test-Train split.mp4	51.5 MB
12. Test-Train split.vtt	9.2 KB
13. Bias Variance trade-off.mp4	31.0 MB
13. Bias Variance trade-off.vtt	5.8 KB
14. Test-Train Split in R.mp4	95.5 MB
14. Test-Train Split in R.vtt	7.5 KB
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	91.3 MB
16. Subset Selection techniques.vtt	11.5 KB
17. Subset selection in R.mp4	80.3 MB
17. Subset selection in R.vtt	6.8 KB
18. Project Exercise 10.html	0.2 KB
19. Shrinkage methods - Ridge Regression and The Lasso.mp4	40.5 MB
19. Shrinkage methods - Ridge Regression and The Lasso.vtt	7.3 KB
20. Ridge regression and Lasso in R.vtt	10.1 KB
21. Project Exercise 11.html	0.4 KB
22. Final Project Exercise.html	0.3 KB
22.1 Movie_collection_test.csv.csv	12.0 KB
23. Course Conclusion.html	1.7 KB
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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	16.2 MB
1. Welcome to the course!.vtt	2.6 KB
2. Course contents.mp4	49.3 MB
2. Course contents.vtt	8.1 KB
/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 the data graphically.mp4	86.2 MB
3. Describing the 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. Getting started with R and R studio/
1. Installing R and R studio.mp4	42.8 MB
1. Installing R and R studio.vtt	5.1 KB
2. Basics of R and R studio.mp4	50.5 MB
2. Basics of R and R studio.vtt	9.7 KB
3. Packages in R.mp4	103.5 MB
3. Packages in R.vtt	10.1 KB
4. Inputting data part 1 Inbuilt datasets of R.mp4	48.4 MB
4. Inputting data part 1 Inbuilt datasets of R.vtt	3.6 KB
5. Inputting data part 2 Manual data entry.mp4	32.4 MB
5. Inputting data part 2 Manual data entry.vtt	2.6 KB
6. Inputting data part 3 Importing from CSV or Text files.mp4	72.5 MB
6. Inputting data part 3 Importing from CSV or Text files.vtt	5.7 KB
7. Creating Barplots in R.mp4	123.3 MB
7. Creating Barplots in R.vtt	12.0 KB
8. Creating Histograms in R.mp4	54.0 MB
8. Creating Histograms in R.vtt	5.2 KB
/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 Data and the Data Dictionary.mp4	82.4 MB
3. The Data and the Data Dictionary.vtt	7.1 KB
3.1 House_Price.csv.csv	54.8 KB
4. Importing the dataset into R.mp4	16.8 MB
4. Importing the dataset into R.vtt	2.3 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 R.mp4	117.7 MB
7. EDD in R.vtt	10.3 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 R.mp4	39.8 MB
10. Outlier Treatment in R.vtt	3.9 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 R.mp4	33.3 MB
13. Missing Value imputation in R.vtt	3.1 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 in R.mp4	71.1 MB
17. Variable transformation in R.vtt	8.2 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 R.mp4	54.8 MB
21. Dummy variable creation in R.vtt	4.6 KB
22. Project Exercise 6.html	0.2 KB
23. Correlation Matrix and cause-effect relationship.mp4	85.2 MB
23. Correlation Matrix and cause-effect relationship.vtt	10.0 KB
24. Correlation Matrix in R.mp4	99.7 MB
24. Correlation Matrix in R.vtt	8.3 KB
25. Project Exercise 7.html	0.3 KB
Total files 129