Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
This repository contains introductory notebook for logistic regression
This repository contains many jupyter notebooks and output printouts chronicling my learning of basic Machine Learning concepts.
🌳 This Jupyter Notebook trains a neural network on the Covertype dataset to predict forest cover types using TensorFlow. It includes data preprocessing, model building, training, evaluation, random sample testing, and ROC curve visualization. Achieves ~85% accuracy on multi-class classification of 7 cover types! 🚀📊
Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook
This notebook takes the historical data on English Premier League matches from 2000 to 2018 and aims to build an efficient model that predicts, for each game, if the home team is going to win or not
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