Machine-Learning-from-Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
How to download and setup Machine-Learning-from-Scratch
Open terminal and run command
git clone https://github.com/curiousily/Machine-Learning-from-Scratch.git
git clone is used to create a copy or clone of Machine-Learning-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 Machine-Learning-from-Scratch https://github.com/curiousily/Machine-Learning-from-Scratch/archive/master.zip
Or simply clone Machine-Learning-from-Scratch with SSH
[email protected]:curiousily/Machine-Learning-from-Scratch.git
If you have some problems with Machine-Learning-from-Scratch
You may open issue on Machine-Learning-from-Scratch support forum (system) here: https://github.com/curiousily/Machine-Learning-from-Scratch/issuesSimilar to Machine-Learning-from-Scratch repositories
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