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全国各省市停贷通知汇总

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-courses

List of awesome university courses for learning Computer Science!

bayesian-statistics-techniques-and-models-university-of-california-santa-cruz-on-coursera

Course materials for the Bayesian Statistics: Techniques and Models - University of California, Santa Cruz MOOC on Coursera

computer-science

:mortar_board: Path to a free self-taught graduation in Computer Science

dat210x

Programming with Python for Data Science Microsoft

data-algorithms-book

MapReduce and Spark Source Code and Scripts for Data Algorithms Book

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-structures-and-algorithms-in-python-solutions

My solutions to Data Structures and Algorithms in Python by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser

datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

datascience-and-machinelearning-handbook-for-coders

程序猿的数据科学与机器学习实战手册

datasciencecoursera

datasharing

The Leek group guide to data sharing

datastructureandalgorithm

deeplearningbook

MIT Deep Learning Book in PDF format

dscontent-starter

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratorydataanalysis

ExploratoryDataAnalysis

free-vpn-for-coursera

:key: :unlock:免费开源的科学上网工具

go

The Open Source Data Science Masters

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

learn-to-program

Education resources to learn to program

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

maths-with-python

matlabbookanswer

Matlab程序设计与应用（第3版，刘卫国著）课后习题与实验-参考答案

mlclass

Python code for Machine Learning course from Coursera

mxnet

Efficient and Flexible Distributed Deep Learning Framework, for python, R, Julia and more

note_softwareengineering

学堂在线 清华大学 软件工程（2016 春）笔记

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)