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Machine Learning Algorithms & Data Manipulation with Python A collection of machine learning algorithms and data manipulation techniques using Python and Scikit-learn. Covers regression, classification, clustering, and neural networks, using real email and NSL-KDD datasets for practical applications.
Mini Data Science projects using the various Data Science tools and Machine Learning algorithms I learnt - Pandas, Seaborn, Numpy, Linear Regression, K Nearest Neighbour, , Decison Trees and Random Forest
This repository contains implementation of the related article that was written as a part of Machine learning course at the Faculty of Computer and Information Science at the University of Ljubljana. In the article I describe how decision trees can be used to predict result of League of Legends game by using statistic data of previous games.