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[DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python
magnet:?xt=urn:btih:ebb55baacfcefc255b458060844c8129e61fb0e8&dn=[DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python
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文件列表详情
ebb55baacfcefc255b458060844c8129e61fb0e8
infohash:
52
文件数量
2.66 GB
文件大小
2020-8-22 23:49
创建日期
2024-6-17 03:30
最后访问
相关分词
DesireCourse
Com
Udemy
-
Machine
Learning
Basics
Building
Regression
Model
in
Python
1. Introduction/1. Welcome to the course!.mp4 16.27 MB
1. Introduction/2. Course contents.mp4 47.85 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 82.21 MB
2. Basics of Statistics/4. Measures of Centers.mp4 45.67 MB
2. Basics of Statistics/6. Measures of Dispersion.mp4 28.39 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 80.64 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 54.13 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 123.9 MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4 45.26 MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.11 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 20.88 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 23.95 MB
5. Data Preprocessing/2. Data Exploration.mp4 23.41 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.63 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 68.03 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 78.59 MB
5. Data Preprocessing/4. Importing Data in Python.mp4 32.46 MB
5. Data Preprocessing/6. Univariate analysis and EDD.mp4 27.3 MB
5. Data Preprocessing/7. EDD in Python.mp4 75.08 MB
5. Data Preprocessing/9. Outlier Treatment.mp4 27.78 MB
6. Linear Regression/1. The Problem Statement.mp4 10.68 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 88.14 MB
6. Linear Regression/12. Test-train split.mp4 49.14 MB
6. Linear Regression/13. Bias Variance trade-off.mp4 29.6 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 38.64 MB
6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 156.64 MB
6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 50.27 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 104.42 MB
6. Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4 49.72 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 78.63 MB
6. Linear Regression/7. Multiple Linear Regression.mp4 38.91 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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