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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.

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

intro-cultural-analytics

Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

introduction-to-data-analysis-using-excel

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

libsvm

lihang-code

《统计学习方法》的代码实现

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mit-linear-algebra-notes

Notes for MIT-Linear-Algebra

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

numpy-ml

Machine learning, in numpy

or-pandas

【运筹OR帷幄|数据科学】pandas教程系列电子书

ox-analysetwitterdata

Repo of materials for Oxford Spring School in Advanced Research Methods: Analysing Twitter Data

powerbi-visuals

Documentation for creating visuals for Power BI

probabilistic-machine-learning---kevin-murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

py3_programming

Python 3 Specialization - University of Michigan - Coursera

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

py4e-4_using_databases_with_python

Python Programming

py4e-4courses

Python for Everybody Specialization - University of Michigan - Coursera

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python-for-everybody

Class notes

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pythonworkshop

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

sql-gym

《SQL必知必会》第五版的练习和答案

sql_must_konw

sql必知必会

sql_xmind

极客时间《SQL必知必会》思维导图

stat212b

Topics Course on Deep Learning UC Berkeley