yiran02,github

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

dm-competition-getting-started

数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

icml-2018-papers

https://icml.cc/Conferences/2018/Schedule

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

leetcode

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

machine-learning-yearning-cn

CHINESE TRANSLATION OF MACHINE LEARNING YEARNING BY ANDREW NG

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

programming-collective-intelligence-source-code

集体智慧编程源代码

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-for-data-analysis

An introduction to data science using Python and Pandas with Jupyter notebooks.

python-for-probability-statistics-and-machine-learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pywt

PyWavelets - Wavelet Transforms in Python

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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