Visual Question Answering(VQA) is a system that takes an image and natural language question about the image as an input and generates natural language answer as an output.

Deployed a POC for the client to demo how the entire ML life cycle works. The purpose of the project was to implement different ML techniques and show the client how the entire ML pipeline works in…

The goal is to predict whether or not a DonorsChoose.org project proposal submitted by a teacher will be approved, using the text of project descriptions as well as additional metadata about the pr…

This notebook illustrates the nature of the Stochastic Gradient Descent (SGD) and walks through all the necessary steps to create SGD from scratch in Python. Gradient Descent is an essential part o…

This repository contains detailed study and analysis of the Donors choose dataset

Using pytorch and reinforcement learning I created a 2D simulation along with a small car like object (using the kivy library) which has 3 sensors at its front. All the 3 sensors help it to travel …

Using Natural Language Processing, determine the frequency of the questions from a dataset, given their subjects and topics. Find the top 10 most frequently asked questions.