12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Learn how to develop, deploy and iterate on production-grade ML applications.
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
10 Weeks, 20 Lessons, Data Science for All!
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The fastai book, published as Jupyter Notebooks
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
📊 Path to a free self-taught education in Data Science!
Best Practices on Recommendation Systems
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
VIP cheatsheets for Stanford's CS 229 Machine Learning
📺 Discover the latest machine learning / AI courses on YouTube.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Your new Mentor for Data Science E-Learning.
A curated list of awesome big data frameworks, ressources and other awesomeness.
Python training for business analysts and traders