Siam Rafsunjani's Projects
Answers to 120 commonly asked data science interview questions.
Exploratory data analysis, Superhost detection and annual income prediction from Berlin Airbnb dataset.
Your daily feed of Github. All the things you love about Github in one bucket. Live here https://github-bucket.firebaseapp.com/
The most cited deep learning papers
A curated list to learn about distributed systems
Modern JavaScript Tutorial in Bengali
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Crud Boilerplate of express with mongodb as database and jwt authentication. Usable Starter for hackathons and kickstart projects.
:books: Freely available programming books
18 Lessons, Get Started Building with Generative AI š https://microsoft.github.io/generative-ai-for-beginners/
Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Jupyter metapackage for installation, docs and chat
Notes on books I read, talks I watch, articles I study, and papers I love
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
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.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Grade exams fast and accurately using a scanner šØ or your phone š¤³.
Papers from the computer science community to read and discuss.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Using Selenium and Beautiful Soup to scrape marathon images