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all-about-ml

State of the art ML research and applications

coding-interview-university

A complete computer science study plan to become a software engineer.

data-science-question-answer

A repo for data science related questions and answers

handson-ml3

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.

kaggle-classification

A compiled list of kaggle competitions and their winning solutions for classification problems.

leetcode

Data structures and algorithms for interview preparation

leetcode-1

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

leetcode-2

My Python & JAVA Solutions for Leetcode

leetcode-summerizer

Summarize and collect into a DB a collection of LeetCode problems (Description, Solutions, Code, Analysis)

machine-learning-andrew-ng-course-programming-assignments-using-jupyter-nootbook

machine-learning-andrewng-deeplearning.ai

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

machine-learning-interviews

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

machine-learning-specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

ml-andrewng

Notebooks from the Machine Learning Specialization

ml-cheatsheet

A constantly updated python machine learning cheatsheet

ml-interview

Preparing for machine learning interviews

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

mle-interview

该仓库记录搜索推荐算法工程师的必备面试知识点+paper

mle-related

Preparation for MLE interviews

production-level-deep-learning

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

pycon2017-optimizing-pandas

Materials for PyCon 2017 presentation on optimizing Pandas code

python-labs

Labs for CS41

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

stat-programming

Implementations of statistic algorithms. Derived from STATS 202A class notes.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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