- R
- R cheat sheet (Google Drive)
- R functions for Regression Analysis
- R Reference Card
- R functions for Time series Analysis
- R Reference Card for Data Mining
- R Cheat Sheet
- Data Analysis the data.table way
- Interactive Web Apps cheatsheet by R studio
- Data Visualisation with ggplot2 cheatsheet by R studio
- Package Development with devtools cheatsheet by R studio
- Data Wrangling cheatsheetR markdown cheatsheet
- R Markdown Reference guide
- R Data Management cheatsheet
- R Cheatsheet for graphical parameters
- Python
- Python 2.7 Quick Reference Sheet
- Python Cheat Sheet by DaveChild
- Python Basics Reference sheet
- Python Debugger Cheatsheet
- NumPy / SciPy / Pandas Cheat Sheet
- Python OverAPI cheatsheet
- Python Decorators cheatsheet
- Python 2.4 Quick Reference Card
- Python 3 Cheat Sheet
- Python Language & Syntax Cheat Sheet
- SQL
- MySQL Cheatsheet by Dave child
- SQL Cheat sheet
- SQL in one page
- MySQL Reference guide
- Visual SQL Joins
- SQL for dummies
- Hadoop
- Hadoop for Dummies cheatsheet
- Getting Started Apache Hadoop Reference Card
- Hadoop Command Line cheatsheet
- Working with HDFS from the command line – Hadoop Cheat sheet
- Hive Function cheatsheet
- SQL to Hive cheatshe
- Spark
- DZone
- Scala cheatsheets 1
- Scala cheatsheets 2
- Scala from DZone Reference Card
- Spark cheatsheet on github
- Scala on Spark Cheatsheet
- Essential Apache Spark cheatsheet by MapR
- Machine learning
- Choosing the right estimator Machine Learning cheatsheet
- Patterns for Predictive learning cheatsheet
- Machine learning algorithm cheat sheet for Microsoft Azure
- Machine Learning cheatsheet Github 1
- Machine Learning cheatsheet Github 2
- Machine Learning which algorithm performs best?
- Cheat sheet 10 machine learning algorithms R commands
- Patterns for Predictive Analytics
2015年7月29日 星期三
50個資料科學工具速查表(R、Python、Hadoop、Spark、Machine learning)
以下為國外整理的資料科學工具速查表,包含常見的工具R、Python、Hadoop、Spark,以及機器學習(Machine Learning)理論。
訂閱:
文章 (Atom)