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Machine Learning Basics - Linear Regression - K Nearest Neighbor - SVM - K Means

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Feature Selection
Feature Selection
 
 
00 - Linear Regression.py
00 - Linear Regression.py
 
 
00 - Linear Regression.py.ipynb
00 - Linear Regression.py.ipynb
 
 
01 - Linear Regression.py
01 - Linear Regression.py
 
 
01 - Linear Regression.py.ipynb
01 - Linear Regression.py.ipynb
 
 
02 - Linear Regression.py
02 - Linear Regression.py
 
 
02 - Linear Regression.py.ipynb
02 - Linear Regression.py.ipynb
 
 
03 - Linear Regression.py
03 - Linear Regression.py
 
 
03 - Linear Regression.py.ipynb
03 - Linear Regression.py.ipynb
 
 
04 - Linear Regression.py
04 - Linear Regression.py
 
 
04 - Linear Regression.py.ipynb
04 - Linear Regression.py.ipynb
 
 
05 - Linear Regression.py
05 - Linear Regression.py
 
 
05 - Linear Regression.py.ipynb
05 - Linear Regression.py.ipynb
 
 
06 - K Nearest Neighbor.py
06 - K Nearest Neighbor.py
 
 
06 - K Nearest Neighbor.py.ipynb
06 - K Nearest Neighbor.py.ipynb
 
 
07 - K Nearest Neighbor.py
07 - K Nearest Neighbor.py
 
 
08 - K Nearest Neighbor.py
08 - K Nearest Neighbor.py
 
 
09 - K Nearest Neighbor.py
09 - K Nearest Neighbor.py
 
 
09 - K Nearest Neighbor.py.ipynb
09 - K Nearest Neighbor.py.ipynb
 
 
10 - SVM.py
10 - SVM.py
 
 
11 - SVM.py
11 - SVM.py
 
 
12 - SVM.py
12 - SVM.py
 
 
13 - SVM.py
13 - SVM.py
 
 
14 - K Means - Unsupervised Learning.py
14 - K Means - Unsupervised Learning.py
 
 
15 - Tensorflow 2.2.py
15 - Tensorflow 2.2.py
 
 
README.md
README.md
 
 
car.data
car.data
 
 
carModel.pickle
carModel.pickle
 
 
student-mat.csv
student-mat.csv
 
 
studentGradeModel.pickle
studentGradeModel.pickle
 
 

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Machine-Learning

Machine Learning Basics - Linear Regression - K Nearest Neighbor - SVM - K Means

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Machine Learning Basics - Linear Regression - K Nearest Neighbor - SVM - K Means

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