0omayo0 / ithome_ironman Goto Github PK

This is a repository collcting the code written in iThome competition essays: Data and Machine Learning in NLP aspect(玩轉資料與機器學習-以自然語言處理為例)

Although all of them are written in Chinese, I translate their title into English.

• Roadmap
  • Roadmap for Data Analyst
  • Roadmap for Data Analyst(Cont.)
• Web Crawling
  • Web Crawling Day1 - Introduction
  • Web Crawling Day2 - Html File Obtaining and General Problems
  • Web Crawling Day3 - Html File Obtaining and General Problems(Cont.)
  • Web Crawling Day4 - Html File Analysis
  • Web Crawling Day5 - Advaced: Async Carwling
  • Web Crawling Day5 - Advaced: Async Carwling and Multithread
• Database
  • Interaction between Python and MongoDB
• Pandas
  • Pandas(Excel in Python) Day1 - Data Type and File Reading and Writing
  • Pandas(Excel in Python) Day2 - DataFrame Data Description and Attributes
  • Pandas(Excel in Python) Day3 - DataFrame Indexing and Updating
  • Pandas(Excel in Python) Day4 - DataFrame Insert, Delete and Loop
• Natural Language Processing
  • English NLP Basics
  • Chinese NLP Basics
• Information Retrieval
  • IR Basics - Theory
  • IR Basics - Implementing LineBot Retrieval Engine
  • Evaluation of Information Retrieval
• Preprocessing
  • Preprocessing
  • Preprocessing(Cont.)
• Machine Learning
  • Machine Learning Introduction
  • Clustering Algorithm Theory
  • Clustering Algorithm Implementation - Distinguishing Between Different Algorithm
  • Product Label Clustering - Word2Vec
  • Classification Theory - Traditional Algorithm
  • Classification Theory - SVM and XGB+CV
  • Classification Implementation - LineBot Project
• Conclesion
  • 2017 Data Analyst Practice
• Weekend Special
  • Weekend Special - iThome Ironman Articles Analysis
  • Weekend Special - iThome Ironman Articles Analysis(Cont.)
  • Weekend Special - Predict Top 10 Days Browse Count for iThome Competition Articles

Google Translation:

Hi, I see your article on Iron Man
Feel very good writing, although I am now a Web Developer
But the data chain that I studied at the institute previously also uses Python to handle ML, data mining, etc.

Your article made me impulsive and wanted to return to Python, and looked at your article to return to practice

Hope to establish a relationship with you:)