Raman Ahuja's starred repositories
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
data-science-question-answer
A repo for data science related questions and answers
awesome-graphql
Awesome list of GraphQL
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
coding-interview-university
A complete computer science study plan to become a software engineer.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
SDE-Interview-Questions
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
live_log_analyzer_spark
Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.
geeksforgeeks.pdf
Topic wise PDFs of Geeks for Geeks articles. (Last updated in October 2018)
easy-application
Over 400 software engineering companies that are easy to apply to
cracking-the-coding-interview
☁️ 👀 💬 My Java Solutions to CTCI-6th Edition. Links to Online Judge Platforms for CTCI questions.
Complete-CheatSheets
This repo contains all the cheatsheets you need to keep handy, I will add more soon.
bayes_sentiment_analysis
Increasing the efficiency of Naïve Bayes model in NLP for Sentiment Analysis. B.Tech Final Year Project
machine-learning-coursera-stanford
📊 📈 In depth explained my assignment solutions. Grade: 97.3%
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-deep-learning-papers
The most cited deep learning papers
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
mlcourse.ai
Open Machine Learning Course
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
awesome-public-datasets
A topic-centric list of HQ open datasets.