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Python Basics

Python Basics
Jupyter
Data Science Tools
Advanced Skills

Corpus Processing with Python

Corpus Linguistics with Python
Natural Language Tool-Kits (NLTK)
Web Crawler
Web Crawler (Dcard)
Unicode
Corpus Lingustics Methods
Structured Corpus Processing
Chinese Processing
- Chinese Word Segmentation (jieba)
- Chinese Word Segmentation (ckiptagger)

Statistics with Python

Statistical Analyses
Descriptive Statistics
Analytic Statistics
Network Analysis
Network Analysis Using Igraph

NLP with Python

Natural Language Processing with Python
Natural Language Processing: A Primer
Text Normalization
- Text Normalization (English)
- Text Normalization (Chinese)
Machine Learning Overview
Sentiment Analysis with Traditional Machine Learning
Neural Network From Scratch
Language Model
Word Embeddings
Universal Sentence Embeddings
Sentiment Analysis with Deep Learning
Sentiment Analysis with LSTM
Intutions for Types of Sequence-to-Sequence Models
Machine Translation (Sequence-to-Sequence)
- Machine Translation with Attention (Thushan)
Hyper-Parameter Tuning
Sentiment Analysis Using BERT
Explainable AI

Appendix

To-do List
References

Colab

.ipynb

Data Science Tools

Data Science Tools#

These sections describe useful packages and tools in Python that are often needed in Data Science projects.

Numpy
Pandas
Object Serialization
Data Visualization I
Data Visualization 2

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By Alvin Chen

© Copyright 2020 Alvin Chen.