Resources

Programming References

Directly click the programming language name you are interested in ... Python, Data Science, R, Matlab & LaTeX. Here, we have some Statistic information for your reference.

Python

Entry Data Description
01 Python Tutorials for Downloading Twitter Data
02 Using Python to Grab Twitter User Data
03 Bokeh Library
04 Seaborn Visualization
05 A sandbox, & other things
06 Plotting data on a map (Example Gallery)
07 Python Basemap drawgreatcircle function
08 Python3网络爬虫(四)：使用User Agent和代理IP隐藏身份
09 From Beautiful Maps to Actionable Insights: Introducing kepler.gl, Uber’s Open Source Geospatial Toolbox
10 Create Network Graph
11 3D Network Graphs in Python/v3
12 The Python Graph Gallery
13 Basemap Customization with Matplotlib
14 Circles
15 Network diagram with the NetworkX library
16 Python Tutorials for Downloading Twitter Data
17 Using Python to Grab Twitter User Data

R

Entry Data Description
01 Shiny from R sdudio
02 Plotly R Open Source Graphing Library
03 Prof. Wen's Network Data Analysis and Models
04 NTU Computer Information Center - Teacher Lin's Website
05 htmlwidgets for R
06 Applying R in Chinese Text Mining
07 Using R in Hydrology
08 An Introduction to Statistical Learning

Data Science

Entry Data Description
01 Database Management Systems
02 Introduction to Data Mining (Second Edition)
03 Mining the Social Web (2nd Edition)
04 Data Mining with Weka MOOC
05 Machine Learning Notebooks
06 An LSTM Odyssey
07 Tutorials at KDD 2015
08 Introduction to SQL
09 Blind source separation using FastICA
10 Google Cloud Platform GitHub
11 DataIsBeautiful
12 Blaze Tutorial
13 Advanced Analytics with Spark Source Code
14 Apache Spark on Docker with Anaconda Python
15 SQLite Baseball Archive
16 Introduction to Machine Learning from Google
17 XGBoost 使用說明
18 eXtreme Gradient Boosting
19 XGBoost Documentation
20 Google Earth Engine API
21 資料科學・機器・人
22 何謂生成對抗網路? 聽聽頂尖研究員怎麼說
23 How to compute the similarity between two text documents?
24 Reinforcement-learning-with-tensorflow
25 Learn from ML experts at Google
26 Google Learning Crash Course
27 Google Research

Matlab

Entry Data Description
01 Cleve's Corner Collection
02 MATLAB 之工程應用
03 Prof. Chang's courses from Dept. of CSIE, NTU
04 WVTool
05 Time-Frequency Analysis
06 Filter Design (濾波器設計)

Statistics Information

Entry Data Description
01 One-way ANOVA in SPSS
02 Post Hoc Test
03 Simple regression analysis
04 Multiple regression analysis

LaTeX

Entry Data Description
01 LaTeX – A document preparation system
02 List of LaTeX mathematical symbols
03 LaTeX Documentation on Overleaf
04 LaTeX:Symbols
05 LaTeX Table Generator
06 LaTeX Equation Generator