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[FTUForum com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]

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Title: UDEMY Machine Learning Basics Building Regression Model in Python FTUGroup: NOGRPSource: Udemy
Info Hash
9D1AC7B3551F437C84BC0620165919088ABA8C60
Source
Unverified
Total Size
2.79 GB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
1. Introduction/1. Welcome to the course!.mp420.6 MB
1. Introduction/1. Welcome to the course!.vtt2.63 KB
1. Introduction/2. Course contents.mp463.9 MB
2. Basics of Statistics/1. Types of Data.mp425.86 MB
2. Basics of Statistics/1. Types of Data.vtt4.32 KB
2. Basics of Statistics/2. Types of Statistics.mp413.23 MB
2. Basics of Statistics/2. Types of Statistics.vtt2.68 KB
2. Basics of Statistics/3. Describing data Graphically.mp482.2 MB
2. Basics of Statistics/3. Describing data Graphically.vtt11.3 KB
2. Basics of Statistics/4. Measures of Centers.mp445.67 MB
2. Basics of Statistics/4. Measures of Centers.vtt6.42 KB
2. Basics of Statistics/5.1 Exercise 1.pdf.pdf553.83 KB
2. Basics of Statistics/5. Practice Exercise 1.html357 B
2. Basics of Statistics/6. Measures of Dispersion.mp428.38 MB
2. Basics of Statistics/6. Measures of Dispersion.vtt4.72 KB
2. Basics of Statistics/7.1 Exercise 2.pdf.pdf469.93 KB
2. Basics of Statistics/7. Practice Exercise 2.html300 B
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp418.61 MB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.vtt2.25 KB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp473.07 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.vtt7.98 KB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp451.3 MB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.vtt10.77 KB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp415.92 MB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.vtt3.5 KB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp480.63 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.vtt14.3 KB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp473.67 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.vtt14.62 KB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp454.12 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.vtt9.12 KB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp456.46 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.vtt7.24 KB
3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp448.87 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4123.89 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt16.3 KB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp445.26 MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.vtt8.59 KB
4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html166 B
5. Data Preprocessing/10. Outlier Treatment in Python.mp486.57 MB
5. Data Preprocessing/10. Outlier Treatment in Python.vtt11.17 KB
5. Data Preprocessing/11. Project Exercise 3.html233 B
5. Data Preprocessing/12. Missing Value Imputation.mp427.56 MB
5. Data Preprocessing/12. Missing Value Imputation.vtt3.61 KB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp428.59 MB
5. Data Preprocessing/13. Missing Value Imputation in Python.vtt3.57 KB
5. Data Preprocessing/14. Project Exercise 4.html238 B
5. Data Preprocessing/15. Seasonality in Data.mp420.89 MB
5. Data Preprocessing/15. Seasonality in Data.vtt3.3 KB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4113.73 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.vtt16.09 KB
5. Data Preprocessing/17. Variable transformation and deletion in Python.mp453.4 MB
5. Data Preprocessing/17. Variable transformation and deletion in Python.vtt6.49 KB
5. Data Preprocessing/18. Project Exercise 5.html285 B
5. Data Preprocessing/19. Non-usable variables.mp423.94 MB
5. Data Preprocessing/19. Non-usable variables.vtt4.8 KB
5. Data Preprocessing/1. Gathering Business Knowledge.mp425.11 MB
5. Data Preprocessing/1. Gathering Business Knowledge.vtt3.45 KB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp440.62 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.vtt4.31 KB
5. Data Preprocessing/21. Dummy variable creation in Python.mp433.89 MB
5. Data Preprocessing/21. Dummy variable creation in Python.vtt4.76 KB
5. Data Preprocessing/22. Project Exercise 6.html202 B
5. Data Preprocessing/23. Correlation Analysis.mp481.3 MB
5. Data Preprocessing/23. Correlation Analysis.vtt9.75 KB
5. Data Preprocessing/24. Correlation Analysis in Python.mp468.02 MB
5. Data Preprocessing/24. Correlation Analysis in Python.vtt5.81 KB
5. Data Preprocessing/25. Project Exercise 7.html288 B
5. Data Preprocessing/2. Data Exploration.mp423.41 MB
5. Data Preprocessing/2. Data Exploration.vtt3.21 KB
5. Data Preprocessing/3.1 House_Price.csv.csv53.49 KB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp478.58 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.vtt6.89 KB
5. Data Preprocessing/4.1 House_Price.csv.csv53.49 KB
5. Data Preprocessing/4. Importing Data in Python.mp432.46 MB
5. Data Preprocessing/4. Importing Data in Python.vtt4.89 KB
5. Data Preprocessing/5.1 Movie_collection_train.csv.csv43.31 KB
5. Data Preprocessing/5. Project exercise 1.html431 B
5. Data Preprocessing/6. Univariate analysis and EDD.mp427.29 MB
5. Data Preprocessing/6. Univariate analysis and EDD.vtt3.1 KB
5. Data Preprocessing/7. EDD in Python.mp475.07 MB
5. Data Preprocessing/7. EDD in Python.vtt9 KB
5. Data Preprocessing/8. Project Exercise 2.html177 B
5. Data Preprocessing/9. Outlier Treatment.mp427.78 MB
5. Data Preprocessing/9. Outlier Treatment.vtt3.99 KB
6. Linear Regression/10. Multiple Linear Regression in Python.mp488.13 MB
6. Linear Regression/10. Multiple Linear Regression in Python.vtt10.81 KB
6. Linear Regression/11. Project Exercise 9.html327 B
6. Linear Regression/12. Test-train split.mp449.13 MB
6. Linear Regression/13. Bias Variance trade-off.mp429.59 MB
6. Linear Regression/14. Test train split in Python.mp457.77 MB
6. Linear Regression/15. Linear models other than OLS.mp419.18 MB
6. Linear Regression/15. Linear models other than OLS.vtt3.87 KB
6. Linear Regression/16. Subset selection techniques.mp487.14 MB
6. Linear Regression/16. Subset selection techniques.vtt11.24 KB
6. Linear Regression/17. Shrinkage methods Ridge and Lasso.mp452.49 MB
6. Linear Regression/17. Shrinkage methods Ridge and Lasso.vtt7.18 KB
6. Linear Regression/18. Ridge regression and Lasso in Python.mp4252.01 MB
6. Linear Regression/19. Project Exercise 10.html424 B
6. Linear Regression/1. The Problem Statement.mp414.85 MB

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