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A repository of links with advice related to grad school applications, research, phd etc
数据结构和算法必知必会的50个代码实现
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
A curated list of awesome network analysis resources.
blog
boss直聘岗位的爬取,以及使用pyecharts相关的信息进行数据分析
The MNIST dataset, contained in mnist-original.mat (matlab format), consists of 70,000 digitized handwritten digits and their labels. I classified them using 2 different classifiers, a stochastic gradient descent classifier called SGDClassifier and a logistic regression classifier called LogisticRegression.
电子商务网站用户行为分析及服务(商品)推荐
Complex Data Analysis course
吴恩达老师的机器学习课程个人笔记
新型冠状病毒数据可视化
数据科学的笔记以及资料搜集
Datacastle National Big Data Online Competition First Place Source Code助学金精准预测冠军代码
A repository of pretty cool datasets that I collected for network science and machine learning research.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Diabetes Mellitus (TY2) has secured the status of a global pandemic. Thus, the diagnosis of the disease at an early stage plays a very significant role as the early prediction of the disease will minimize the health risks associated with the disease. This projects aims to predict whether a person is diabetic or not via six different classification algorithms namely Support Vector Machine(SVC), K- Nearest Neighbour(Knn), Decision Tree, Naive Bayes, Logistic Regression and Random Forest. Moreover, early prediction of the diabetes disease with a higher accuracy can be found using various machine learning techniques.
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问:http://blinkfox.com
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A powerful, interactive charting and visualization library for browser
Pandas中文教程
《统计学习方法》的代码实现
Mathematical derivation and pure Python code implementation of machine learning algorithms.
PRML algorithms implemented in Python
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
All Algorithms implemented in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.