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Decision Trees and Random Forest Project .ipynb
Decision Trees and Random Forest Project .ipynb
 
 
01-Principal Component Analysis.ipynb
01-Principal Component Analysis.ipynb
 
 
College_Data
College_Data
 
 
Housing.csv
Housing.csv
 
 
K Means Clustering Project.ipynb
K Means Clustering Project.ipynb
 
 
K Nearest Neighbors Project.ipynb
K Nearest Neighbors Project.ipynb
 
 
KNN_Project_Data
KNN_Project_Data
 
 
Linear Regression Project.ipynb
Linear Regression Project.ipynb
 
 
Logistic Regression Project.ipynb
Logistic Regression Project.ipynb
 
 
NLP Project.ipynb
NLP Project.ipynb
 
 
README.md
README.md
 
 
Support Vector Machines Project.ipynb
Support Vector Machines Project.ipynb
 
 
Support Vector Machines with Python.ipynb
Support Vector Machines with Python.ipynb
 
 
advertising.csv
advertising.csv
 
 
loan_data.csv
loan_data.csv
 
 
yelp.csv
yelp.csv
 
 

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Machine Learning Practise Project

Here I upload my practise project on each Machine Algorithm that i have learned

1. Linear Regression with Housing Data

2. Logistic Regression With Online Advertisment Data

3. KNearest Neighbour With Unknown Target Classification Data

4. Decision Tree and Random Forest With Loan Data

5. Support Vector Machine with Breast Cancer and Iris Dataset

6. K Means Clustering Project On College Data

7. PCA Project on Breast Cancer Data

8. NLP Project with Yelp data

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