Practical exercises from the Machine Learning course
Exercises based on:
Implementations of the machine learning algorithm with Python and numpy
A python library to build Model Trees with Linear Models at the leaves.
This repo contains the files created for machine learning using python
A python library for decision tree visualization and model interpretation.
Проект по теме "Обучение с учителем" Яндекс.Практикума
A repository for recording the machine learning code
This repository consists of all my Machine Learning Projects.
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
一些常用的机器学习算法实现
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Naive Bayes comparison and learning curves
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
Stanford Machine Learning course exercises implemented with scikit-learn
This repo contains the projects made for the course of Jose Portilla on Udemy.
Simple Machine learning API for JavaScript (SKlearn-like API)