Kartikey Garg's Projects
This repository contains the implementation of Vanilla Autoencoders, Deep Autoencoders, Convolution Autoencoders, Variational Autoencoders.
I have implemented Black Scholes Model using python.
Unemployment Rate forecasting tool built for BMWi during the Data Science for Social Good Fellowship https://dssgxuk.github.io/bmwi/
This classifies the mnist data using CNN. It is a simple implementation of CNN and I am yet to comment it.
Automated tool for data story telling
A robot powered training repository :robot:
Python Solutions of Google Code Jam
Pawan Kumar Portfolio
Intellimart: A Smart shopping system during the pandemic
It's a simple classification notebook. Anyone looking to start on a dataset can have a look at this work. This work involves data manipulation, analysis, cleaning and modelling.
Portfolio Website
Implementation of Stanford Swift UI Class Project
HANGMAN MIT PSET3
Project involves the transformation of data using GCP Dataflow job and then further modelling and analysis is done using Dask running on Dataproc.
I am going to price options using Binomial Options Pricing Model and Black Scholes Model. I am going to further look at the modifications of BSM and its deployment in machine learning to give better results.
Quick-sort Algorithm is one of the fastest algorithm to sort an array. I have used four different options: 1. First Element 2. Last Element 3. Median Element 4. Random Element
Created a Reddit flair detector
Socket Programming in Java. Information is shared between Client and Server using TCP Connection-Oriented Service
I have predicted the reliance stock prices using the past closings. I have excluded the past 4 days of trading data to really test my model over a long term.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent