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Implementation of Machine Learning Algorithms

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REGRESSION
REGRESSION
 
 
50_Startups.csv
50_Startups.csv
 
 
Contributors.md
Contributors.md
 
 
Data.csv
Data.csv
 
 
Decision Tree Classification.py
Decision Tree Classification.py
 
 
Market_Basket.csv
Market_Basket.csv
 
 
Market_Basket_Optimisation.csv
Market_Basket_Optimisation.csv
 
 
Position_Salaries.csv
Position_Salaries.csv
 
 
README.md
README.md
 
 
Restaurant_Reviews.tsv
Restaurant_Reviews.tsv
 
 
Salary_Data.csv
Salary_Data.csv
 
 
Social_Network_Ads.csv
Social_Network_Ads.csv
 
 
Wine.csv
Wine.csv
 
 
apyori.py
apyori.py
 
 
categorical-data.py
categorical-data.py
 
 
categorical_data.R
categorical_data.R
 
 
eclat.R
eclat.R
 
 
natural_language_processing.R
natural_language_processing.R
 
 
natural_language_processing.py
natural_language_processing.py
 
 
pca.py
pca.py
 
 
svm.py
svm.py
 
 

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ML-algorithms

This repository contains the implementation of Machine Learning Algorithms like Linear Regression, Polynomial regression, Logistic regresion, K-Means clustering , Decision Tree and many more

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Implementation of Machine Learning Algorithms

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open-source community machine-learning algorithms machine-learning-algorithms python3 learn-to-code hacktoberfest helpful sklearn-library hacktoberfest2020

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