Sankalp Arora's repositories
Missile-Guidance-and-RL
Studied RL agent-based Guidance Laws and Optimal Control techniques for Surface-to-Air Missile Guidance. Simulated optimal trajectory for the surface to air ballistic missile by implementing Gradient method as optimization technique in MATLAB
My-Stock-Trader---RL-agent
Modelled a reinforcement learning agent using TensorFlow that participates in stock trading by holding, selling, and buying the stocks. Unlike the (Un)supervised models that only make predictions
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Fake-News-detection--BERT-and-USE
Fake news detection using State of Art methods proposed by BERT and a special encoder released by Google known as Universal Sentence Encoder.
Avocado-Price-Prediction
Basic Idea - Predict the price of avocado sold in the US using a historical dataset using Facebook Prophet and visualizations.
Car-Sales-Prediction
A model to predict the price of the car based on the customer provided attributes.
CiFar-10-Image-classification
Image classification using Deep Convolutional neural networks
cs-video-courses
List of Computer Science courses with video lectures.
IIT-Hyderabad-SSL
Implementation of different state-of-art technologies like BYOL, SimCLR, Bisimulation, CPC and learning paradigms such as contrastive learning and asymmetric learning
Jobazon
Collected Amazon Job Dataset using Selenium and BeautifulSoup by scraping Amazon job site. (https://amazon.jobs). Using the data to bring meaningful insights into what skills are preferred more than others at different Amazon office locations.
Matlab
This repository contains Matlab codes for basic and complex waves in signal and system
mlbench-benchmarks
Closed Division Benchmarks
mlbench-core
MLBench Framework Core Python Library
mlbench-docs
Main Documentation repository for MLBench
Movie-recommender-system
The project brings an insight into the fundamentals of the Recommender systems, coded in python this is the basics foundation of every recommender system. Dealt with a movie recommender system in this case which can be further extended to any sort of datasets.
Open-Mi-Restaurante
Collecting data using Zomato API. Analyzing and using ML models to predict for which theme/ambiance goes best for which type of cuisine in a particular city of India. This helps foodpreneurs establishing a successful cafe/restaurant.
Traffic-sign-classification
-In this project, a Deep Network known as LeNet will be used for traffic sign image classification since Traffic sign classification is an important task for self-driving cars.
Yelp-review-classification
Using Natural Language Processing (NLP) strategies to analyze Yelp reviews data. Yelp is an app that provides a crowd-sourced review forum to the business and services.