NK10's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
fastai/fastbook
The fastai book, published as Jupyter Notebooks
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
andkret/Cookbook
The Data Engineering Cookbook
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
WillKoehrsen/Data-Analysis
Data Science Using Python
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
databricks/learning-spark
Example code from Learning Spark book
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
BuzzFeedNews/everything
An index of all our open-source data, analysis, libraries, tools, and guides.
shawlu95/Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
stasi009/TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
interpretml/interpret-community
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
MicrosoftDocs/mslearn-aml-labs
Azure Machine Learning Lab Notebooks
SSaishruthi/Linear_Regression_Detailed_Implementation
vipl0ve/product-management-guide
A Comprehensive Guide for Product Management
davide-burba/forecasting_models
An overview of univariate time series forecasting models with sample code.
mubaris/potential-enigma
Linear Regression from scratch