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Data Structure and Algorithms
Data Structure and Algorithms
 
 
Machine Learning - Decision Tree
Machine Learning - Decision Tree
 
 
Machine Learning - Ensemble Learning
Machine Learning - Ensemble Learning
 
 
Machine Learning - Gradient Descent
Machine Learning - Gradient Descent
 
 
Machine Learning - K Nearest Neighbours
Machine Learning - K Nearest Neighbours
 
 
Machine Learning - Linear Regression
Machine Learning - Linear Regression
 
 
Machine Learning - Logistic Regression
Machine Learning - Logistic Regression
 
 
Machine Learning - Naive Bayes
Machine Learning - Naive Bayes
 
 
Machine Learning - Neural Networks
Machine Learning - Neural Networks
 
 
Machine Learning - Random Forest
Machine Learning - Random Forest
 
 
Machine Learning - Support Vector Machine
Machine Learning - Support Vector Machine
 
 
Natural Language Processing
Natural Language Processing
 
 
NumPy
NumPy
 
 
Pandas
Pandas
 
 
Python OOP
Python OOP
 
 
Tkinter
Tkinter
 
 
README.md
README.md
 
 

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Python-Machine-Learning-notes

Python implementations of some of the fundamental Machine Learning methods and algorithms from scratch as well as using standard Machine Learning libraries.

The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to understand the inner workings, mathematics and the fundamental theories of these methods and algorithms.

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This repository contains Python and Machine Learning notes in .ipynb format

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