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air-quality-deployment

Files used to deploy random forest model in Heroku

air-quality-prediction

End to End deployment of Predicting Air Quality Index-Python, Flask, Heroku - Web Scraping, Feature Engineering and Selection, building several models, analyzing and deploying in Heroku

alpha-omega

Protect society by improving the security of open source software through direct maintainer engagement and expert analysis.

autoreplies

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

backend-architecture-design

Backend design communication patterns and protocols

backend-server-express

bombers

SMS/Email/Whatsapp bombers Collection :bomb::bomb::bomb: :boom:

covid-19-analysis

Analysis of the impact of COVID-19 using Python

crossfire-attack

crud

data-streams-3

An approach to approximate the frequency of occurrences of different items in a data stream.

data-structures-starters

Starter codes

deep-learning

deep-reinforcement-based-recommender

This is a sequential decision-making model implementing DRR framework for recommendation systems

dotfiles

my dev setup and config files

engineering-blogs

A curated list of engineering blogs

feature-scaling-in-ml

The change that scaling makes to model's predictions

flight-price-prediction

Predicting flight prices through data preprocessing, feature engineering and ML models.

front-end-developer-interview-questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

grocery-price-comparator

Frontend app for comparing prices of grocery items across multiple stores built using Javascript / ReactJS

hackathon-starter

A boilerplate for Node.js web applications

hashing-algorithm

Python hash algorithm

iterm2-color-schemes

Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty

k-means

Implementation of k-means clustering algorithm on Spark

linear-regression-from-scratch-and-scikit

locality-sensitive-hashing

Application of LSH to the problem of finding approximate near neighbors. Built Locality sensitive hashing algorithmic technique for 20x20 images which hashes similar input items into same buckets with high probability. Used in fuzzy-matching database records or similar documents, content recommendation. Technologies: PySpark, Python, Pandas, NumPy, Matplotlib

ludo-lodge

Full-stack Game development using Javascript and Node

machine-learning-in-finance

Web scraping list of S&P500 companies and pulling data from Quandl and analyzing the stocks data

mirrorful

Create the building blocks of your app