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Language:
English
Total Size:
2.8 GB
Info Hash:
9D1AC7B3551F437C84BC0620165919088ABA8C60
Added By:
Added:
June 2, 2023, 12:21 p.m.
Stats:
|
(Last updated: May 17, 2025, 6:04 p.m.)
| File | Size |
|---|---|
| 1. Welcome to the course!.mp4 | 20.6 MB |
| 1. Welcome to the course!.vtt | 2.6 KB |
| 2. Course contents.mp4 | 63.9 MB |
| 1. Types of Data.mp4 | 25.9 MB |
| 1. Types of Data.vtt | 4.3 KB |
| 2. Types of Statistics.mp4 | 13.2 MB |
| 2. Types of Statistics.vtt | 2.7 KB |
| 3. Describing data Graphically.mp4 | 82.2 MB |
| 3. Describing data Graphically.vtt | 11.3 KB |
| 4. Measures of Centers.mp4 | 45.7 MB |
| 4. Measures of Centers.vtt | 6.4 KB |
| 5.1 Exercise 1.pdf.pdf | 553.8 KB |
| 5. Practice Exercise 1.html | 357 bytes |
| 6. Measures of Dispersion.mp4 | 28.4 MB |
| 6. Measures of Dispersion.vtt | 4.7 KB |
| 7.1 Exercise 2.pdf.pdf | 469.9 KB |
| 7. Practice Exercise 2.html | 300 bytes |
| 1. Installing Python and Anaconda.mp4 | 18.6 MB |
| 1. Installing Python and Anaconda.vtt | 2.2 KB |
| 2. Opening Jupyter Notebook.mp4 | 73.1 MB |
| 2. Opening Jupyter Notebook.vtt | 8.0 KB |
| 3. Introduction to Jupyter.mp4 | 51.3 MB |
| 3. Introduction to Jupyter.vtt | 10.8 KB |
| 4. Arithmetic operators in Python Python Basics.mp4 | 15.9 MB |
| 4. Arithmetic operators in Python Python Basics.vtt | 3.5 KB |
| 5. Strings in Python Python Basics.mp4 | 80.6 MB |
| 5. Strings in Python Python Basics.vtt | 14.3 KB |
| 6. Lists, Tuples and Directories Python Basics.mp4 | 73.7 MB |
| 6. Lists, Tuples and Directories Python Basics.vtt | 14.6 KB |
| 7. Working with Numpy Library of Python.mp4 | 54.1 MB |
| 7. Working with Numpy Library of Python.vtt | 9.1 KB |
| 8. Working with Panda Library of Python.mp4 | 56.5 MB |
| 8. Working with Panda Library of Python.vtt | 7.2 KB |
| 9. Working with Seaborn Library of Python.mp4 | 48.9 MB |
| 1. Introduction to Machine Learning.mp4 | 123.9 MB |
| 1. Introduction to Machine Learning.vtt | 16.3 KB |
| 2. Building a Machine Learning Model.mp4 | 45.3 MB |
| 2. Building a Machine Learning Model.vtt | 8.6 KB |
| 3. Introduction to Machine learning quiz.html | 166 bytes |
| 10. Outlier Treatment in Python.mp4 | 86.6 MB |
| 10. Outlier Treatment in Python.vtt | 11.2 KB |
| 11. Project Exercise 3.html | 233 bytes |
| 12. Missing Value Imputation.mp4 | 27.6 MB |
| 12. Missing Value Imputation.vtt | 3.6 KB |
| 13. Missing Value Imputation in Python.mp4 | 28.6 MB |
| 13. Missing Value Imputation in Python.vtt | 3.6 KB |
| 14. Project Exercise 4.html | 238 bytes |
| 15. Seasonality in Data.mp4 | 20.9 MB |
| 15. Seasonality in Data.vtt | 3.3 KB |
| 16. Bi-variate analysis and Variable transformation.mp4 | 113.7 MB |
| 16. Bi-variate analysis and Variable transformation.vtt | 16.1 KB |
| 17. Variable transformation and deletion in Python.mp4 | 53.4 MB |
| 17. Variable transformation and deletion in Python.vtt | 6.5 KB |
| 18. Project Exercise 5.html | 285 bytes |
| 19. Non-usable variables.mp4 | 23.9 MB |
| 19. Non-usable variables.vtt | 4.8 KB |
| 1. Gathering Business Knowledge.mp4 | 25.1 MB |
| 1. Gathering Business Knowledge.vtt | 3.4 KB |
| 20. Dummy variable creation Handling qualitative data.mp4 | 40.6 MB |
| 20. Dummy variable creation Handling qualitative data.vtt | 4.3 KB |
| 21. Dummy variable creation in Python.mp4 | 33.9 MB |
| 21. Dummy variable creation in Python.vtt | 4.8 KB |
| 22. Project Exercise 6.html | 202 bytes |
| 23. Correlation Analysis.mp4 | 81.3 MB |
| 23. Correlation Analysis.vtt | 9.7 KB |
| 24. Correlation Analysis in Python.mp4 | 68.0 MB |
| 24. Correlation Analysis in Python.vtt | 5.8 KB |
| 25. Project Exercise 7.html | 288 bytes |
| 2. Data Exploration.mp4 | 23.4 MB |
| 2. Data Exploration.vtt | 3.2 KB |
| 3.1 House_Price.csv.csv | 53.5 KB |
| 3. The Dataset and the Data Dictionary.mp4 | 78.6 MB |
| 3. The Dataset and the Data Dictionary.vtt | 6.9 KB |
| 4.1 House_Price.csv.csv | 53.5 KB |
| 4. Importing Data in Python.mp4 | 32.5 MB |
| 4. Importing Data in Python.vtt | 4.9 KB |
| 5.1 Movie_collection_train.csv.csv | 43.3 KB |
| 5. Project exercise 1.html | 431 bytes |
| 6. Univariate analysis and EDD.mp4 | 27.3 MB |
| 6. Univariate analysis and EDD.vtt | 3.1 KB |
| 7. EDD in Python.mp4 | 75.1 MB |
| 7. EDD in Python.vtt | 9.0 KB |
| 8. Project Exercise 2.html | 177 bytes |
| 9. Outlier Treatment.mp4 | 27.8 MB |
| 9. Outlier Treatment.vtt | 4.0 KB |
| 10. Multiple Linear Regression in Python.mp4 | 88.1 MB |
| 10. Multiple Linear Regression in Python.vtt | 10.8 KB |
| 11. Project Exercise 9.html | 327 bytes |
| 12. Test-train split.mp4 | 49.1 MB |
| 13. Bias Variance trade-off.mp4 | 29.6 MB |
| 14. Test train split in Python.mp4 | 57.8 MB |
| 15. Linear models other than OLS.mp4 | 19.2 MB |
| 15. Linear models other than OLS.vtt | 3.9 KB |
| 16. Subset selection techniques.mp4 | 87.1 MB |
| 16. Subset selection techniques.vtt | 11.2 KB |
| 17. Shrinkage methods Ridge and Lasso.mp4 | 52.5 MB |
| 17. Shrinkage methods Ridge and Lasso.vtt | 7.2 KB |
| 18. Ridge regression and Lasso in Python.mp4 | 252.0 MB |
| 19. Project Exercise 10.html | 424 bytes |
| 1. The Problem Statement.mp4 | 14.8 MB |
| 1. The Problem Statement.vtt | 1.4 KB |
| 20.1 Movie_collection_test.csv.csv | 11.7 KB |
| 20. Final Project Exercise.html | 301 bytes |
| 21. Course Conclusion.html | 1.6 KB |
| 2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 | 50.3 MB |
| 2. Basic Equations and Ordinary Least Squares (OLS) method.vtt | 8.7 KB |
| 3. Simple Linear Regression in Python.mp4 | 78.6 MB |
| 3. Simple Linear Regression in Python.vtt | 9.8 KB |
| 4. Project Exercise 8.html | 322 bytes |
| 5. Assessing accuracy of predicted coefficients.mp4 | 104.4 MB |
| 5. Assessing accuracy of predicted coefficients.vtt | 14.0 KB |
| 6. Assessing Model Accuracy RSE and R squared.mp4 | 49.7 MB |
| 6. Assessing Model Accuracy RSE and R squared.vtt | 7.1 KB |
| 7. Multiple Linear Regression.mp4 | 38.9 MB |
| 7. Multiple Linear Regression.vtt | 5.1 KB |
| 8. The F - statistic.mp4 | 64.1 MB |
| 8. The F - statistic.vtt | 8.0 KB |
| 9. Interpreting results of Categorical variables.mp4 | 27.1 MB |
| 9. Interpreting results of Categorical variables.vtt | 4.7 KB |
| Discuss.FTUForum.com.html | 31.9 KB |
| FreeCoursesOnline.Me.html | 108.3 KB |
| FTUForum.com.html | 100.4 KB |
| How you can help Team-FTU.txt | 235 bytes |
| [TGx]Downloaded from torrentgalaxy.org.txt | 524 bytes |
| Torrent Downloaded From GloDls.to.txt | 84 bytes |
Name
DL
Uploader
Size
S/L
Added
-
358.7 MB
[23
/
9]
2025-04-03
| Uploaded by freecoursewb | Size 358.7 MB | Health [ 23 /9 ] | Added 2025-04-03 |
-
1.6 GB
[18
/
3]
2023-10-30
| Uploaded by FreeCourseWeb | Size 1.6 GB | Health [ 18 /3 ] | Added 2023-10-30 |
NOTE
SOURCE: Udemy | Machine Learning Basics Building Regression Model in Python [FTU]
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