sankalp-s Goto Github PK

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.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

devops-repo

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.

gratifai

Developed an AI, a Deep Convolutional Q-Learning model combined to Eligibility Traces for playing ’Doom’ which is a first person shooting game and trying to beat the high score

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.

keras-selenium-cnn-self-curated-guide

matlab

This repository contains Matlab codes for basic and complex waves in signal and system

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

mlbench-benchmarks

Closed Division Benchmarks

mlbench-core

MLBench Framework Core Python Library

mlbench-docs

Main Documentation repository for MLBench

mlbench-helm

MLBench Helm charts

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.

msc_thesis

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

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.

pca-rnn-tensorflow-self-curated-guide

python-codes-

python-reinforcement-learning-projects

Python Reinforcement Learning Projects, published by Packt

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

rl

robotics-case-study

sankalp-s.github.io

spam-classifier-using-naive-bayes