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.idea
 
 
Part 9 - Model Selection
Part 9 - Model Selection
 
 
Part 0 - Welcome to Machine Learning A-Z
Part 0 - Welcome to Machine Learning A-Z
 
 
Part 1 - Data Preprocessing
Part 1 - Data Preprocessing
 
 
Part 10 - XGBoost
Part 10 - XGBoost
 
 
Part 2 - Regression
Part 2 - Regression
 
 
Part 3 - Classification
Part 3 - Classification
 
 
Part 4 - Clustering
Part 4 - Clustering
 
 
Part 5 - Association Rule Learning/Section 28 - Apriori
Part 5 - Association Rule Learning/Section 28 - Apriori
 
 
Part 6 -Natural_Language_Processing
Part 6 -Natural_Language_Processing
 
 
Part 7 - Neural Networks
Part 7 - Neural Networks
 
 
Part 8 -Dimensionality_Reduction
Part 8 -Dimensionality_Reduction
 
 
.DS_Store
.DS_Store
 
 
README.md
README.md
 
 

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Machine Learning A-Z

This repository is a collection of all the machine learning models from Kiril Eremenko's Super data-science course. I have created this while I was learning machine learning.

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Repository for Machine Learning (SuperDataScience) A to Z. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it lear…

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