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Python Basics
Python Basics
Data Structure
Program Structure
Regular Expression
Input and Output
Object-Oriented Programming
Docstrings Format
Jupyter
Jupyer Notebook
Notebook to Slides
Google Colaboratory (Colab)
Google Colab R
Data Science Tools
Numpy
Pandas
Object Serialization
Data Visualization I
Data Visualization 2
Advanced Skills
Magic R
Python Tricks
Web Applications
Google Drive with Ubuntu
Phythonic Productivity Techniques
Miscellaneous Notes
Corpus Processing with Python
Corpus Linguistics with Python
Natural Language Tool-Kits (NLTK)
Web Crawler
Web Crawler (Dcard)
Unicode
Corpus Lingustics Methods
Lexical Bundles
Tokenization
WordNet
Word Cloud
Patterns and Constructions
Structured Corpus Processing
BNC-XML
CHILDES Corpus
Praat TextGrid Data
Vectorizing Texts
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
NLP Pipeline
Natural Language Processing (spaCy)
Chinese Natural Language Processing (spaCy)
Natural Language Processing (ckipnlp)
Text Normalization
Text Normalization (English)
Text Normalization (Chinese)
Machine Learning Overview
Machine Learning with Sklearn – Regression
Machine Learning with Sci-Kit Learn
Naive Bayes
Sentiment Analysis with Traditional Machine Learning
Neural Network From Scratch
Language Model
Neural Language Model: A Start
Neural Language Model of Chinese
Text Generation
Transformer-based Language Model - GPT2
Word Embeddings
Word2Vec
Dov2Vec
Generate Text Embeddings Using AutoEncoder
Universal Sentence Embeddings
Sentiment Analysis with Deep Learning
Sentiment Analysis with LSTM
Intutions for Types of Sequence-to-Sequence Models
Types of Seqeunce Model
Sequence Model (many-to-one) with Attention
Seqeunce Model with Attention for Addition Learning
Machine Translation (Sequence-to-Sequence)
Machine Translation with Attention (Thushan)
Hyper-Parameter Tuning
Sentiment Analysis Using BERT
Explainable AI
Appendix
To-do List
References
Index