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Amit's Projects

awesome icon awesome

:sunglasses: Curated list of awesome lists

aws-mls-c01 icon aws-mls-c01

Resource files for my course on the AWS Machine Learning Specilty certification exam.

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

click_that_hood icon click_that_hood

A game where users must identify a city's neighborhoods as fast as possible

data-mining icon data-mining

Exercises completed during the coursework of Statistical Data Mining class

deal-performance icon deal-performance

Our goal is to lower risk by decreasing participation in deals which are likely to break price and increasing alpha by increasing indication in deals which are likely to perform well.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

ds-algorithms icon ds-algorithms

Applying machine learning algorithms and statistical models to data with the ultimate goal of being able to predict the outcome for a certain query or classify data according to certain criteria.

flashmarket icon flashmarket

An implementation of a Market for users to buy and sell.

globetrotter icon globetrotter

A web app to inform the user about the weather along the GPS route

glove icon glove

GloVe model for distributed word representation

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hugging-face icon hugging-face

Projects and Scripts that host examples for using Hugging Face

labs icon labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

machine-learning-interview icon machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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