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Name: Sundaresan
Type: User
Bio: Currently curating (Refer Repositories) amazing data Science info/reads/Cheat sheets from the internet as a one stop page. CREDIT TO ORIGINAL CREATORS.
Twitter: Kartik_es
Name: Sundaresan
Type: User
Bio: Currently curating (Refer Repositories) amazing data Science info/reads/Cheat sheets from the internet as a one stop page. CREDIT TO ORIGINAL CREATORS.
Twitter: Kartik_es
120 Data Science Interview Questions COMPILED AND CREATED BY: CARL SHAN, MAX SONG, HENRY WANG, AND WILLIAM CHEN
50_Machine_Learning_Questions_with_Answers
Comprehensive guide to automated Machine Learning.(AutoML)
Simple pictorial explanation of Bootstrapping ( Bootstrapped Sampling :)
Business Analytics Interview Questions & Answers by Satyajit Pattnaik
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data by_Dr_AngShuMan
VIP Cheatsheet: Machine Learning Tips Afshine Amidi and Shervine Amidi
CREATE GRAPHICAL USER INTERFACES WITH PYTHON. This book will show you how to use Python to create some fun graphical user interfaces (GUIs) using the guizero library.
Crirical Z-Values for Hypothesis Testing
Data Analysis with PANDAS CHEAT SHEET Created By: Arianne Colton and Sean Chen
Data Scaling Techniques from/by www.letthedataconfess.com
Data Science Cheat sheet by Maverick Lin
Data Science Interview Questions
Data Wrangling with pandas Cheat Sheet
Data_Science_Comprehensive_Cheatsheet_by_Aaron Wang
Data_visualization_with_Seaborn_ by Asif Bhat. With line by code details ,data sets, plots. An amazing one stop guide to refer ready made codes for quick implementation.
Design effective and beautiful data visualizations and tell impactful stories with data. DATAcated Chart Selector Guide
Expert's Way To Search On Google For Machine Learning, Data Science, And Programming Practitioners
Free_book_on_Machine_Learning. A complete Step-by-Step Guide To Implement Machine Learning Algorithms with Python by Rudolph Russell (Shared By Ravit Jain)
Fun Python Instructor: Rada Mihalcea Notes from a class held online between April - May 2020 with students age 10-12
Data_Visualization_with_ggplot2
A robot powered training repository :robot:
Thanks To Original creators of the work
Introducing Data Science BIG DATA, MACHINE LEARNING, AND MORE, USING PYTHON TOOLS DAVY CIELEN ARNO D. B. MEYSMAN MOHAMED ALI
© 2012, 2013 By Jeffrey Stanton, Portions © 2013, By Robert De Graaf
Learning Python: From Zero to Hero by TK
Free ebook created from Stack overflow contributors
List of Contributors Wei Zhang PhD candidate at the Institute of Software, Chinese Academy of Sciences (ISCAS), Beijing, P.R.CHINA, e-mail: [email protected], has written chapters of Naive Bayes and SVM. Fei Pan Master at Beijing University of Technology, Beijing, P.R.CHINA, e-mail: [email protected], has written chapters of KMeans, AdaBoost. Yong Li PhD candidate at the Institute of Automation of the Chinese Academy of Sciences (CASIA), Beijing, P.R.CHINA, e-mail: [email protected], has written chapters of Logistic Regression. Jiankou Li PhD candidate at the Institute of Software, Chinese Academy of Sciences (ISCAS), Beijing, P.R.CHINA, e-mail: [email protected], has written chapters of BayesNet. xi
MATPLOTLIB_CheatSheet by Steve Nouri
ML_Cheat_Sheets_(Follow_Dr_AngShuMan_Ghosh_for_more)
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.