This project aims to build a regression model that predicts the number of views for TED Talks videos on the TED website.

This Repository contains the implementation of various Classification Algorithms on different different datasets.

Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance

Software prediction has been used. Where the machine learning and the deep learning algorithms have been compared.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Ensemble model which uses supervised machine learning algorithm to predict whether or not the patients in the dataset have diabetes

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

Decision Trees, Bagging and Boosting