Pinned Repositories
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
express-jwt-mongo-boilerplate
Crud Boilerplate of express with mongodb as database and jwt authentication. Usable Starter for hackathons and kickstart projects.
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.
socialmedia-restaurant-review-analysis
Descriptive analysis and transfer learning sentiment analysis on bangladeshi restaurant review data scraped from social media platforms
SiamRafsunjani's Repositories
SiamRafsunjani/socialmedia-restaurant-review-analysis
Descriptive analysis and transfer learning sentiment analysis on bangladeshi restaurant review data scraped from social media platforms
SiamRafsunjani/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
SiamRafsunjani/Airbnb-analysis
Exploratory data analysis, Superhost detection and annual income prediction from Berlin Airbnb dataset.
SiamRafsunjani/audio-signal-processing-playground
SiamRafsunjani/awesome-deep-learning-papers
The most cited deep learning papers
SiamRafsunjani/awesome-distributed-systems
A curated list to learn about distributed systems
SiamRafsunjani/bn.javascript.info
Modern JavaScript Tutorial in Bengali
SiamRafsunjani/express-jwt-mongo-boilerplate
Crud Boilerplate of express with mongodb as database and jwt authentication. Usable Starter for hackathons and kickstart projects.
SiamRafsunjani/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.
SiamRafsunjani/Coursera_capstone
SiamRafsunjani/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
SiamRafsunjani/Exam-evalutaion
SiamRafsunjani/extension-challenge
SiamRafsunjani/Foursquare-api-analysis
SiamRafsunjani/free-programming-books
:books: Freely available programming books
SiamRafsunjani/javascript-algorithms
Algorithms and data structures implemented in JavaScript with explanations and links to further readings
SiamRafsunjani/jupyter
Jupyter metapackage for installation, docs and chat
SiamRafsunjani/learnyounode
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
SiamRafsunjani/message-bus-typescript
SiamRafsunjani/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.
SiamRafsunjani/OMRChecker
Grade exams fast and accurately using a scanner 🖨 or your phone 🤳.
SiamRafsunjani/papers-we-love
Papers from the computer science community to read and discuss.
SiamRafsunjani/path-finder
SiamRafsunjani/petty-cash-frontend
SiamRafsunjani/prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
SiamRafsunjani/scrape-marathon-images
Using Selenium and Beautiful Soup to scrape marathon images
SiamRafsunjani/SiamRafsunjani
SiamRafsunjani/sklearn-lvq
sklearn compatible implementation of generalized vector quantization algorithms
SiamRafsunjani/TypeScript-Node-Starter
A starter template for TypeScript and Node with a detailed README describing how to use the two together.
SiamRafsunjani/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.