Materials

Book

• An Introduction to Statistical Learning with Applications in R. Second Edition
• The Elements of Statistical Learning, Data Mining, Inference, and Prediction. Second Edition.
• Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python Second Edition
• Reference solution for the exercise (R)
• Reference solution for the exercise (Python)
• Reference solution for the exercise (Python)

MOOC

• Trevor Hastie and Rob Tibshirani
• Hamed Hasheminia

Resources

Environment

• Anaconda
• Google colab
• Kaggle notebook

Dataset search

• 政府資料開放平台
• Kaggle
• Google dataset search

Learning Python

• Learn X in Y minutes
• Kaggle Python tutorial
• Python for everybody
• Python 台灣社群
• Python scientific computing

Learning Python libraries

• NumPy for R user
• NumPy for Matlab user
• Python Data Science Handbook

Learning Markdown

• CommonMark
• Learn X in Y minutes

Libraries

Data manipulation

• Pandas
• NumPy

Plotting

• Seaborn
• plotnine
• Yellowbrick

Modeling

• Scikit-learn
• statsmodels
• mlxtend