A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Students performance system to help students improve their academic performance

This is the official implementation of the bipartite matching experiment from the paper "Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization".

Udacity Deep Learnning Nanodegree foundation Project 1- Your first neural network.

Third project of Methods and Tools for Industrial Automation

CSE Final Year Project. Heart Disease Prediction using Supervised Learning namely - Logistic Regression, Naive Bayes, K-NN, Decision Tree and Random Forest. The Porject is done in Python.

Build and train own Neural Network from scratch to predict the number of bikeshare users on a given day.

Neuronal network for a Bike Sharing Rental

In this repo, I attempt to understand systemic biases in gender and racial policing as well as train an sklearn ML model for predicting the ethnicity of NYPD officers from allegation data.

Developed a neural network from scratch in python , for predicting bike rentals.