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Name: Kai
Type: User
Name: Kai
Type: User
π’ Ready to learn! you will learn 10 skills as data scientist:π Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
This tutorial demonstrates the basic workflow for Deep Learning.You should be familiar with basic linear algebra,Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.
Minimal examples of data structures and algorithms in Python
A curated list of awesome mathematics resources
A curated list of awesome Python frameworks, libraries, software and resources
ActiveState Code Recipes
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A Python tool that automatically cleans data sets and readies them for analysis.
The Web framework for perfectionists with deadlines.
Plotly's Documentation
The https://freeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.
Git Upload Test
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Collection of jupyter notebooks
Deep Learning for humans
matplotlib: plotting with Python
The fundamental package for scientific computing with Python.
100 numpy exercises (100% complete)
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Practice your pandas skills!
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
Python best practices guidebook, written for humans.
A tour in the wonderland of math with Python.
Python HTTP Requests for Humansβ’ β¨π°β¨
Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/
Sample notebooks that are published by IBM for IBM Data Science Experience.
scikit-learn: machine learning in Python
Scipy library main repository
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.