siamrafsunjani Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

airbnb-analysis

Exploratory data analysis, Superhost detection and annual income prediction from Berlin Airbnb dataset.

angularattack2016-sherlock

Your daily feed of Github. All the things you love about Github in one bucket. Live here https://github-bucket.firebaseapp.com/

audio-signal-processing-playground

awesome-deep-learning-papers

The most cited deep learning papers

awesome-distributed-systems

A curated list to learn about distributed systems

bn.javascript.info

Modern JavaScript Tutorial in Bengali

coaching

coursera_capstone

deep-learning-drizzle

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

exam-evalutaion

express-jwt-mongo-boilerplate

Crud Boilerplate of express with mongodb as database and jwt authentication. Usable Starter for hackathons and kickstart projects.

foursquare-api-analysis

free-programming-books

:books: Freely available programming books

javascript-algorithms

Algorithms and data structures implemented in JavaScript with explanations and links to further readings

jupyter

Jupyter metapackage for installation, docs and chat

learnyounode

Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.

message-bus-typescript

mflooc

Predicting The Most Dangerous Areas For Flood Disasters Using NASA EarthData | Many areas around the world are affected by flood and other water related disasters due to rise in earths temperature, climate change and many other factors. Most of these risky areas are in a zone called the 10m Low Elevation Zone. But there are too many areas in this zone. So non-profit organizations can not help all of them. We analyse the mortality risk, population density, economic damage, frequency and distribution of flood occurrences and various other data to find out and categorize the most risky areas in the 10m Low Elevation Zone. Then we present the results visually and in an easily accessible application, So that any related authority can easily find out the areas that require their help the most.

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

omrchecker

Grade exams fast and accurately using a scanner 🖨 or your phone 🤳.

papers-we-love

Papers from the computer science community to read and discuss.

petty-cash-frontend

scrape-marathon-images

Using Selenium and Beautiful Soup to scrape marathon images

siamrafsunjani

sklearn-lvq

sklearn compatible implementation of generalized vector quantization algorithms

socialmedia-restaurant-review-analysis

Descriptive analysis and transfer learning sentiment analysis on bangladeshi restaurant review data scraped from social media platforms

tic-tac-toe

typescript-node-starter

A starter template for TypeScript and Node with a detailed README describing how to use the two together.

you-dont-know-js

A book series on JavaScript. @YDKJS on twitter.