DesireCourse Com Udemy Machine Learning Basics Building Regression model in

DesireCourse Com Udemy Machine Learning Basics Building Regression model in

Name	[DesireCourse.Com] Udemy - Machine Learning Basics Building a Regression model in R	DOWNLOAD Copy Link
Total Size	3.0 GB
Total Files	158
Last Seen	2024-11-17 23:38
Hash	B33CF24C74FDD25B892DA56359F42C3C1C56CA94

/1. Introduction/
1. Welcome to the course!.mp4	16.2 MB
1. Welcome to the course!.vtt	3.2 KB
2. Course contents.mp4	49.3 MB
2. Course contents.vtt	9.6 KB
2.1 00_Introduction_01.pdf.pdf	810.5 KB
/2. Basics of Statistics/
1. Types of Data.mp4	27.1 MB
1. Types of Data.vtt	4.4 KB
1.1 01_01_Lecture_TypesOfData.pdf.pdf	182.0 KB
2. Types of Statistics.mp4	13.9 MB
2. Types of Statistics.vtt	2.7 KB
2.1 01_02_Lecture_TypesOfStatistics.pdf.pdf	175.9 KB
3. Describing the data graphically.mp4	86.2 MB
3. Describing the data graphically.vtt	11.6 KB
3.1 01_03_Lecture_DataSummaryandGraph.pdf.pdf	325.5 KB
4. Measures of Centers.mp4	47.9 MB
4. Measures of Centers.vtt	6.6 KB
4.1 01_04_Lecture_Centers.pdf.pdf	320.5 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
6.1 01_05_Lecture_Dispersion.pdf.pdf	215.6 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	6.8 KB
2. Basics of R and R studio.mp4	50.5 MB
2. Basics of R and R studio.vtt	13.1 KB
3. Packages in R.mp4	103.5 MB
3. Packages in R.vtt	13.2 KB
4. Inputting data part 1 Inbuilt datasets of R.mp4	48.4 MB
4. Inputting data part 1 Inbuilt datasets of R.vtt	5.1 KB
5. Inputting data part 2 Manual data entry.mp4	32.4 MB
5. Inputting data part 2 Manual data entry.vtt	3.3 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	7.7 KB
7. Creating Barplots in R.mp4	123.3 MB
7. Creating Barplots in R.vtt	16.7 KB
8. Creating Histograms in R.mp4	54.0 MB
8. Creating Histograms in R.vtt	6.9 KB
/4. Introduction to Machine Learning/
1. Introduction to Machine Learning.mp4	129.9 MB
1. Introduction to Machine Learning.vtt	21.5 KB
1.1 Lecture_machineLearning.pdf.pdf	1.0 MB
2. Building a Machine Learning model.mp4	47.5 MB
2. Building a Machine Learning model.vtt	11.8 KB
2.1 Lecture_machineLearning.pdf.pdf	1.0 MB
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
1.1 03_01_PDE_Business_knowledge.pdf.pdf	157.6 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
12.1 04_05_PDE_Missing_value.pdf.pdf	323.3 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
15.1 04_07_PDE_Seasonality.pdf.pdf	372.8 KB
16. Bi-variate Analysis and Variable Transformation.mp4	119.3 MB
16. Bi-variate Analysis and Variable Transformation.vtt	16.5 KB
16.1 04_07_Variable_Transformation.pdf.pdf	433.0 KB
17. Variable transformation in R.mp4	71.2 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	2.1 MB
19.1 04_08_PDE_Non_Usable_var.pdf.pdf	141.7 KB
2. Data Exploration.mp4	24.6 MB
2. Data Exploration.vtt	3.3 KB
2.1 03_02_PDE_Data_exploration.pdf.pdf	330.7 KB
20. Dummy variable creation Handling qualitative data.mp4	42.6 MB
20. Dummy variable creation Handling qualitative data.vtt	4.4 KB
20.1 04_11_Dummy_Var.pdf.pdf	166.9 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
23.1 04_10_Correlation.pdf.pdf	263.1 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
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
3.2 03_03_PDE_Raw_Data_Analysis_Uni.pdf.pdf	339.9 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
6.1 03_04_PDE_Univariate_Analysis_Uni.pdf.pdf	341.4 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
9.1 04_06_PDE_Outlier_Treatment.pdf.pdf	363.7 KB
/6. Linear Regression Model/
1. The problem statement.mp4	11.2 MB
1. The problem statement.vtt	1.5 KB
1.1 05_01_Intro.pdf.pdf	245.1 KB
10. Multiple Linear Regression in R.mp4	76.7 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
12.1 05_12_Test_Train.pdf.pdf	244.5 KB
13. Bias Variance trade-off.mp4	31.0 MB
13. Bias Variance trade-off.vtt	5.8 KB
13.1 05_13_Bias_Var_tradeoff.pdf.pdf	207.2 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
15.1 05_09_Other_lin_model.pdf.pdf	160.3 KB
16. Subset Selection techniques.mp4	91.3 MB
16. Subset Selection techniques.vtt	11.5 KB
16.1 05_10_Subset_Selection.pdf.pdf	203.3 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
19.1 05_11_Shrinkage_methods.pdf.pdf	192.6 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
2.1 05_02_Simple_lin_reg.pdf.pdf	291.6 KB
20. Ridge regression and Lasso in R.mp4	130.3 MB
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
3. Assessing Accuracy of predicted coefficients.mp4	109.5 MB
3. Assessing Accuracy of predicted coefficients.vtt	14.3 KB
3.1 05_03_Simple_lin_reg_Accuracy.pdf.pdf	340.7 KB
4. Assessing Model Accuracy - RSE and R squared.mp4	52.2 MB
4. Assessing Model Accuracy - RSE and R squared.vtt	7.2 KB
4.1 05_03_Simple_lin_reg_Accuracy.pdf.pdf	340.7 KB
5. Simple Linear Regression in R.mp4	53.1 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
7.1 05_04_Multiple_lin_reg.pdf.pdf	225.1 KB
8. The F - statistic.mp4	67.3 MB
8. The F - statistic.vtt	8.2 KB
8.1 05_05_F_stat.pdf.pdf	336.4 KB
9. Interpreting result for categorical Variable.mp4	28.5 MB
9. Interpreting result for categorical Variable.vtt	4.8 KB
9.1 05_06_Cat_var.pdf.pdf	159.2 KB
/
[DesireCourse.Com].url	0.1 KB
Total files 158