ML-From-Scratch
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.
How to download and setup ML-From-Scratch
Open terminal and run command
git clone https://github.com/eriklindernoren/ML-From-Scratch.git
git clone is used to create a copy or clone of ML-From-Scratch repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with ML-From-Scratch https://github.com/eriklindernoren/ML-From-Scratch/archive/master.zip
Or simply clone ML-From-Scratch with SSH
[email protected]:eriklindernoren/ML-From-Scratch.git
If you have some problems with ML-From-Scratch
You may open issue on ML-From-Scratch support forum (system) here: https://github.com/eriklindernoren/ML-From-Scratch/issuesSimilar to ML-From-Scratch repositories
Here you may see ML-From-Scratch alternatives and analogs
tensorflow keras scikit-learn TensorFlow-Examples pytorch face_recognition CNTK data-science-ipython-notebooks Qix handong1587.github.io telegram-list mlcourse.ai stats Winds machine-learning-curriculum caffe tesseract machine-learning-for-software-engineers awesome-deep-learning-papers incubator-mxnet lectures cs-video-courses julia Screenshot-to-code spaCy cheatsheets-ai awesome-deep-learning python-machine-learning-book WaveFunctionCollapse handson-ml