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[FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]
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2019-4-29 18:58
2024-12-24 17:59
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2.79 GB
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UDEMY
Machine
Learning
Basics
Building
Regression
Model
in
Python
FTU
文件列表
1. Introduction/1. Welcome to the course!.mp4
20.6MB
1. Introduction/2. Course contents.mp4
63.9MB
2. Basics of Statistics/1. Types of Data.mp4
25.86MB
2. Basics of Statistics/2. Types of Statistics.mp4
13.23MB
2. Basics of Statistics/3. Describing data Graphically.mp4
82.2MB
2. Basics of Statistics/4. Measures of Centers.mp4
45.67MB
2. Basics of Statistics/6. Measures of Dispersion.mp4
28.38MB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4
18.61MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4
73.07MB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4
51.3MB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4
15.92MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4
80.63MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4
73.67MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4
54.12MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4
56.46MB
3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4
48.87MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
123.89MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4
45.26MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4
86.57MB
5. Data Preprocessing/12. Missing Value Imputation.mp4
27.56MB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp4
28.59MB
5. Data Preprocessing/15. Seasonality in Data.mp4
20.89MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4
113.73MB
5. Data Preprocessing/17. Variable transformation and deletion in Python.mp4
53.4MB
5. Data Preprocessing/19. Non-usable variables.mp4
23.94MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4
25.11MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4
40.62MB
5. Data Preprocessing/21. Dummy variable creation in Python.mp4
33.89MB
5. Data Preprocessing/23. Correlation Analysis.mp4
81.3MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4
68.02MB
5. Data Preprocessing/2. Data Exploration.mp4
23.41MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4
78.58MB
5. Data Preprocessing/4. Importing Data in Python.mp4
32.46MB
5. Data Preprocessing/6. Univariate analysis and EDD.mp4
27.29MB
5. Data Preprocessing/7. EDD in Python.mp4
75.07MB
5. Data Preprocessing/9. Outlier Treatment.mp4
27.78MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4
88.13MB
6. Linear Regression/12. Test-train split.mp4
49.13MB
6. Linear Regression/13. Bias Variance trade-off.mp4
29.59MB
6. Linear Regression/14. Test train split in Python.mp4
57.77MB
6. Linear Regression/15. Linear models other than OLS.mp4
19.18MB
6. Linear Regression/16. Subset selection techniques.mp4
87.14MB
6. Linear Regression/17. Shrinkage methods Ridge and Lasso.mp4
52.49MB
6. Linear Regression/18. Ridge regression and Lasso in Python.mp4
252.01MB
6. Linear Regression/1. The Problem Statement.mp4
14.85MB
6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
50.26MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4
78.63MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4
104.41MB
6. Linear Regression/6. Assessing Model Accuracy RSE and R squared.mp4
49.71MB
6. Linear Regression/7. Multiple Linear Regression.mp4
38.9MB
6. Linear Regression/8. The F - statistic.mp4
64.12MB
6. Linear Regression/9. Interpreting results of Categorical variables.mp4
27.13MB
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