data-science

Yang Xi's statistics and machine learning repo

Welcome to Yang Xi's statistics and machine learning repo!

Here you will find reading notes and code templates of frequently used models, including

• Machine Learning Domains and Project Management
  • Study notes of Structuring Machine Learning Projects by Andrew Ng (2020)
  • Reading notes of Advances in Financial Machine Learning by Marcos Lopez de Prado (2018)
    
    
• Machine Learning Applications
  • Natural Language Processing
    • Study notes of NLP Specailization by deeplearning.ai (2021)
      • NLP with probabilistics, sequential and attention models
  • Time-Series Forecasting
    • Illustration of Forecasting: principles and practice by Rob J Hyndman and George Athanasopoulos (2018)
      • Time-seris performance, time-series cross-validation, stationary, Holt-Winters Model, ARIMA, Dynamic Regression and Dynamic Harmonic Regression
  • Recommender System
    • Association Rule: Apriori and Eclat - data mining, interpretation and visualization
    • Matrix Factorization in Keras, with model serving
      
      
• Machine Learning Approaches
  • Supervised Learning
    • Linear and tree-based models
      • Model fitting, regularization, cross-validation, interpretation, unbalanced class
  • Interpretable Machine Learning
    • Local Interpretable Model-agnostic Explanations (LIME)
    • Interactions-based Method for Explanation (IME, Shapley Value)
  • Deep Learning (WIP)
  • Reinforcement Learning (WIP)
    
    
• Statistics and AB Testing
  • probability distribution, sampling distribution, hypothesis testing, confidence interval
  • AB Testing
    
    
• Optimization
  • Integer Programming: Vehicle Routing Problem

More on the way ...!