Nikhil Chadha

This repository contains the codebase and resources for an AI-powered solution developed for the Bayer Hackathon. The project will leverage various modern frameworks to address real-world challenges in day to day business operations.

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Notebooks created for Kaggle competitions

Docker Image for the Stockwise App

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Portfolio Web App using Mern Stack

Creating Django Restful API

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In this Project we will work with a real-world digital image, process it using computer vision techniques and use Hough tranforms to detect shapes.

Build, train, test and deploy an Artificial intelligence (Al) model to predict sentiment from real Amazon Echo customer reviews.

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Cleaning a twitter tweet sentiment analysis data using NLP techniques

Build Data Analysis tools using R and DPLYR

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Solving the credit card Fraud Problem using Sampling Techniques

Applying Topsis To find best Pretrained Model for Text Classification

A Smart Dustbin Project made using Arduino Programming and basic understanding of Ultrasonic Sensor and Servo Motor

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Collection of leetcode company tag problems. Periodically updating.