twlottomldl

My part-time experimental project. Using machine learning and deep learning to predict lottery winning numbers.\

• Kick-off: 2020/05/11
• For details, please visit my project journal on HackMD: Project Journal - Taiwan Lottery Machine Learning (twlottomldl)

Snapshot

• Purpose: Predict winning numbers of Taiwan lottery by ML/DL
• Rationale:
  • There's no perfectly fair lotto balls nor perfectly fair lotto machines existed in this world.
  • The floating ,collision of balls, and (therefore) the results might be influenced by intrinsic and extrinsic factors
    • intrinsic factors:
      • characteristics of balls and machines themselves
    • extrinsic factors:
      • local weather (e.g., Atmospheric pressure, humidity, temperature, etc.) at or near the opening time.
      • gravitational forces from near by celestial bodies. (The moon should be the major source of force)
• Language: Python
• Techniques:
  • Web scraping: requests, pyquery
  • ETL : pandas(local machine)
  • EDA : numpy, pandas, matplotlib, Tableau
  • Modeling: (TBD)
  • WebApp Deployment: (TBD, maybe Google APP engine)
• Data:
  • Historical lottery data
  • Weather data
  • Moon-phase data
• Link:
  • Project_Journal _twlottomldl
  • GitHub_Repo_twlottomldl

Approach/ Strategy (Outline of Stages)

• Stage 0: Background Survey

  • Learn lottery rules
  • Survey available data source of winning number & weather (& moon phases)

• Stage 1: Web Scraping

  • Get desired weather data
  • Get desired historical lottory data

• Stage 2: ETL (Extract, Transform, Load)

  • Extract & correctly combine the datasets in hand.

• Stage 3: EDA (Exploratory Data Analysis)

  • Explore data characteristics
  • pandas, matplotlib, seaborn
  • Tableau

• Stage 4: Modeling

  • Divide Training/Testing Datasets
  • Train/Test different ML/DL for better prediction

• Stage 5: WebApp Deployment

  • Wrap the model into a usable application
  • Deploy the APP on the web