DesireCourse Com Udemy Machine Learning Basics Building Regression Model in Python

DesireCourse Com Udemy Machine Learning Basics Building Regression Model in Python

Name	[DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.9 GB
Total Files	158
Last Seen	2025-07-06 02:48
Hash	EBB55BAACFCEFC255B458060844C8129E61FB0E8

/1. Introduction/
1. Welcome to the course!.mp4	17.1 MB
1. Welcome to the course!.vtt	3.3 KB
2. Course contents.mp4	50.2 MB
2. Course contents.vtt	8.2 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 data Graphically.mp4	86.2 MB
3. Describing 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. 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	84.6 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
8.1 Customer.csv.csv	65.6 KB
9. Working with Seaborn Library of Python.mp4	51.2 MB
9. Working with Seaborn Library of Python.vtt	6.7 KB
/4. Introduction to Machine Learning/
1. Introduction to Machine Learning.mp4	129.9 MB
1. Introduction to Machine Learning.vtt	16.7 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	8.8 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 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
12.1 04_05_PDE_Missing_value.pdf.pdf	323.3 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
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 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
19.1 04_08_PDE_Non_Usable_var.pdf.pdf	141.7 KB
2. Data Exploration.mp4	24.5 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 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
23.1 04_10_Correlation.pdf.pdf	263.1 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
3. The Dataset and the Data Dictionary.mp4	82.4 MB
3. The Dataset and the Data Dictionary.vtt	7.1 KB
3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf.pdf	339.9 KB
3.2 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
6.1 03_04_PDE_Univariate_Analysis_Uni.pdf.pdf	341.4 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
9.1 04_06_PDE_Outlier_Treatment.pdf.pdf	363.7 KB
/6. Linear Regression/
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 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
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 Python.mp4	60.6 MB
14. Test train split in Python.vtt	7.2 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	91.4 MB
16. Subset selection techniques.vtt	11.5 KB
16.1 05_10_Subset_Selection.pdf.pdf	203.3 KB
17. Shrinkage methods Ridge and Lasso.mp4	40.5 MB
17. Shrinkage methods Ridge and Lasso.vtt	7.3 KB
17.1 05_11_Shrinkage_methods.pdf.pdf	192.6 KB
18. Ridge regression and Lasso in Python.mp4	164.2 MB
18. Ridge regression and Lasso in Python.vtt	16.9 KB
19. Project Exercise 10.html	0.4 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
2.1 05_02_Simple_lin_reg.pdf.pdf	291.6 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
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	52.1 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 Python.mp4	82.5 MB
5. Simple Linear Regression in Python.vtt	82.5 MB
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	67.2 MB
8. The F - statistic.vtt	8.2 KB
8.1 05_05_F_stat.pdf.pdf	336.4 KB
9. Interpreting results of Categorical variables.mp4	28.4 MB
9. Interpreting results of Categorical variables.vtt	4.8 KB
9.1 05_06_Cat_var.pdf.pdf	159.2 KB
/
[DesireCourse.Com].url	0.1 KB
Total files 158