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1-data-science-best-resources

Carefully curated resource links for data science in one place

10-machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

11-handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

12-machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

13-awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

14-mlcourse.ai

Open Machine Learning Course

15-scikit-learn-tips

:robot::zap: scikit-learn tips

16-mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

17-data-science-prep

Problems from https://datascienceprep.com/

18-production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

19-machine_learning_basics

Plain python implementations of basic machine learning algorithms

2-mlinterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

20-100-days-of-ml-code

100 Days of ML Coding

21-data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

22-500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

23-cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

24-awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

25-120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

26-machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

27-real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

28-sankha1998

29-amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

3-awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

30-ml_prep

Machine Learning interview prep guide

4-awesome-mlops

A curated list of references for MLOps

40-getting-job-data-science

Collection of advice and resources for getting a job as data scientist

41-data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

42-intro2stats

Introduction to Statistics using Python

43-interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

44-cracking-the-data-science-interview-1

A list of resources for our society members who have upcoming interviews!