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[FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]
magnet:?xt=urn:btih:9d1ac7b3551f437c84bc0620165919088aba8c60&dn=[FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]
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Hash值:
9d1ac7b3551f437c84bc0620165919088aba8c60
点击数:
174
文件大小:
2.79 GB
文件数量:
52
创建日期:
2019-4-29 18:58
最后访问:
2024-10-29 05:56
访问标签:
FTUForum
com
UDEMY
Machine
Learning
Basics
Building
Regression
Model
in
Python
FTU
文件列表详情
1. Introduction/1. Welcome to the course!.mp4 20.6 MB
1. Introduction/2. Course contents.mp4 63.9 MB
2. Basics of Statistics/1. Types of Data.mp4 25.86 MB
2. Basics of Statistics/2. Types of Statistics.mp4 13.23 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 82.2 MB
2. Basics of Statistics/4. Measures of Centers.mp4 45.67 MB
2. Basics of Statistics/6. Measures of Dispersion.mp4 28.38 MB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 18.61 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 73.07 MB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 51.3 MB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4 15.92 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 80.63 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 73.67 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 54.12 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 56.46 MB
3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 48.87 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 123.89 MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4 45.26 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 86.57 MB
5. Data Preprocessing/12. Missing Value Imputation.mp4 27.56 MB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp4 28.59 MB
5. Data Preprocessing/15. Seasonality in Data.mp4 20.89 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 113.73 MB
5. Data Preprocessing/17. Variable transformation and deletion in Python.mp4 53.4 MB
5. Data Preprocessing/19. Non-usable variables.mp4 23.94 MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.11 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.62 MB
5. Data Preprocessing/21. Dummy variable creation in Python.mp4 33.89 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 81.3 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 68.02 MB
5. Data Preprocessing/2. Data Exploration.mp4 23.41 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 78.58 MB
5. Data Preprocessing/4. Importing Data in Python.mp4 32.46 MB
5. Data Preprocessing/6. Univariate analysis and EDD.mp4 27.29 MB
5. Data Preprocessing/7. EDD in Python.mp4 75.07 MB
5. Data Preprocessing/9. Outlier Treatment.mp4 27.78 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 88.13 MB
6. Linear Regression/12. Test-train split.mp4 49.13 MB
6. Linear Regression/13. Bias Variance trade-off.mp4 29.59 MB
6. Linear Regression/14. Test train split in Python.mp4 57.77 MB
6. Linear Regression/15. Linear models other than OLS.mp4 19.18 MB
6. Linear Regression/16. Subset selection techniques.mp4 87.14 MB
6. Linear Regression/17. Shrinkage methods Ridge and Lasso.mp4 52.49 MB
6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 252.01 MB
6. Linear Regression/1. The Problem Statement.mp4 14.85 MB
6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 50.26 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 78.63 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 104.41 MB
6. Linear Regression/6. Assessing Model Accuracy RSE and R squared.mp4 49.71 MB
6. Linear Regression/7. Multiple Linear Regression.mp4 38.9 MB
6. Linear Regression/8. The F - statistic.mp4 64.12 MB
6. Linear Regression/9. Interpreting results of Categorical variables.mp4 27.13 MB
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