aniftos's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
TheAlgorithms/Python
All Algorithms implemented in Python
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
ageron/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.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
odpi/OpenDS4All
OpenDS4All project, hosted by LF AI & Data
ccombier/stanford-CS229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
h2oai/tutorials
This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...
IBM/data-science-best-practices
The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.