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100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Tensorflow_cookbook ⭐ 6,085

Code for Tensorflow Machine Learning Cookbook

Stock Analysis ⭐ 366

Regression, Scrapers, and Visualization

Fuku Ml ⭐ 278

Simple machine learning library / 簡單易用的機器學習套件

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Mylearn ⭐ 138

machine learning algorithm

Machine_learning_a Z ⭐ 130

Learning to create Machine Learning Algorithms

Compendium Of Free Ml Reading Resources ⭐ 106

Compendium of free ML reading resources

Ml Starter Pack ⭐ 70

A collection of Machine Learning algorithms written from sctrach.

Ml Coursera ⭐ 67

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Ml Experiments ⭐ 50

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机

Wisconsin Breast Cancer ⭐ 27

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Gdlibrary ⭐ 27

Matlab library for gradient descent algorithms: Version 1.0.1

Machine Learning Models ⭐ 26

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Foundations of Machine Learning Course Materials.

Machine Learning library for python

Machine Learning Framework

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

Machine Learning A Z Hands On Python ⭐ 16

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

C++ Library of machine learning under development, includes SVM, linear regression, logistic regression etc.

Machine Learning ⭐ 9

This repository Contains machine Learning codes,dataset and templates.

Machinelearning_a_z ⭐ 8

The respository is for Machine learning basiscs.

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Machine_learning_study_notes ⭐ 7

Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyanyu.github.io/.

Functions and code snippets to help save the time!

Machinelearning ⭐ 7

CS446: Machine Learning in Spring 2018, UIUC

Python_scripts ⭐ 6

Useful class scripts such as Twitter comment scrap, Facebook data map

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

100daysofmlcode ⭐ 6

100 days ML challenge by Siraj Raval

Apparel Recommendations ⭐ 6

Content Based Filtering and Apparel Recommendations.

Applied Machine Learning ⭐ 6

Applied Machine Learning

Machine Learning ⭐ 5

My Implementation of Machine Learning models

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