Nikhil John's Projects
Data Structures & Algorithms Nanodegree Program from Udacity
Abstraction and Reasoning Challenge on kaggle
This is a much more in-depth project of text classification using SpaCy, where Amazon food reviews dataset was used
Collection of Artificial Intelligence Algorithms implemented on various problems
Simple text classification on a research paper and conference dataset
A repository of all problems I've practiced from various coding platforms. This repo will be updated regularly as and when questions have been solved
This repo contains codes and projects on some high level data structures in Python, based on a Codecademy course
My implementation of simple Land cover classification using Keras. This was part of one of my internships
All my work during semester 1 of my Masterโs degree in Data Science at the University of Bath
Classifying traffic signs from the GTSRB dataset using Vanilla NN. I'm using Google Colab as my system doesn't have a GPU
My solution to Kaggle's Getting started, "Natural Language Processing with Disaster Tweets" competition. Uses GloVe + BiLSTM
A project based on supervised learning as part of the Udacity ML Nanodegree program. Feel free to fork this project and work on it, as there can be multiple ways to approach this problem
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
This a project implementing a key features in Unsupervised Learning, right from preprocessing and cleaning the data, to feature extraction via PCA. This was a submission for a Udacity project
This repo contains files for classifying images of 102 types of flowers. It can be run from a Jupyter notebook, or via a command line application
These are some good starter ML projects that I curated for a workshop on ML where I was invited as a speaker
This repo contains the files I worked on and my submission notebooks on Kaggle for the Jigsaw Multilingual Toxic Comment Classification contest
My submission to Midas for Summer Internship
All files, codes, notebooks, links, datasets etc that I worked on as part of the Udacity Machine Learning Nanodegree
The standard project every Machine Learning enthisiast should have worked on. Image classification on the famous MNIST dataset. I'm using Google Colab as my system doesn't have a GPU
A data science challenge where you have to predict the human sentiment scores based on the Headline and the title, and according to the date given and the Social media platforms
This repo contains all files I created while doing the Node.js REST API with Express & MongoDB Udemy course by Rapid Dev Pro
For the final project of the PAYPAL REST API fundamentals Value Added Program, we were asked to make a REST API for a Product Management System. My project is called GENESYS, and this repo contains the swagger documentation of this API.
This repository contains the material that was taught as part of a Value added program on REST API Fundamentals and Design conducted by PayPal at VIT Chennai.
As part of being shorlisted for the PayPal Value Added Program on REST APIs being held in VIT Chennai, this was a mini project assigned to us. I have created 'NOVISSIMO', a portal that can be implemented in colleges/universities to enable efficient management of courses in the institution
In this project, I've created a neural network to predict certain patterns in bike rental data.