Pinned Repositories
AlgoTrading
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
adventofcode2021
AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
aws-eks-kubernetes-masterclass
AWS EKS Kubernetes - Masterclass | DevOps, Microservices
boston_housing
ConcentrationGame
First iOS game from standford CS193p ConcentrationGame
courses
fast.ai Courses
gkjegan's Repositories
gkjegan/deep-learning-notebooks
gkjegan/aws-eks-kubernetes-masterclass
AWS EKS Kubernetes - Masterclass | DevOps, Microservices
gkjegan/kube-persistent-pos-sim
gkjegan/kube-position-simulator
gkjegan/langchains
gkjegan/docker-fundamentals
Docker Fundamentals
gkjegan/kafka-projects
gkjegan/AlgoTrading
gkjegan/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
gkjegan/adventofcode2021
gkjegan/quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
gkjegan/AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
gkjegan/ConcentrationGame
First iOS game from standford CS193p ConcentrationGame
gkjegan/graph-ql-testing
A repo for testing GraphQL queries and mutations
gkjegan/interviews
Everything you need to know to get the job.
gkjegan/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
gkjegan/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
gkjegan/Springboard
Springboard Career Science Career Track
gkjegan/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
gkjegan/tfjs-examples
Examples built with TensorFlow.js
gkjegan/deeplearning.ai
Some work of Andrew Ng's course on Coursera
gkjegan/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
gkjegan/GPflowOpt
Bayesian Optimization using GPflow
gkjegan/models
Models and examples built with TensorFlow
gkjegan/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
gkjegan/data-science-question-answer
A repo for data science related questions and answers
gkjegan/top3
project top 3
gkjegan/dataproc-initialization-actions
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
gkjegan/pythonbootcamp
Jupyter notebooks for a Python bootcamp
gkjegan/fastai
The fast.ai deep learning library, lessons, and tutorials