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AI Algorithms in Trading

Udacity Term 2

Term 2 Notes Data

  • Lesson 1 - Welcome to Term 2
  • Lesson 2 - Intro to Natural Language Processing
  • Lesson 3 Text Processing
  • Lesson 4 - Feature Extraction
  • Lesson 5 - Financial Statements
  • Lesson 6 - Basic NLP Analysis
  • Project 5 :: NLP on Financial Statements
  • Lesson 8 - Introduction to Neural Networks
  • Lesson 9 - Training Neural Networks
  • Lesson 10 - Deep Learning with PyTorch
  • Lesson 11 - Recurrent Neural Networks
  • Lesson 12 - Embeddings & Word2Vec
  • Lesson 13 - Sentiment Prediction RNN
  • Project 6 :: Sentiment Analysis with Neural Networks
  • Lesson 15 - Overview of Machine Learning Techniques
  • Lesson 16 - Decision Trees
  • Lesson 17 - Model Testing & Evaluation
  • Lesson 18 - Random Forests
  • Lesson 19 - Feature Engineering
  • Lesson 20 - Overlapping Labels
  • Lesson 21 - Feature Importance
  • Project 7 :: Combine Signals for Enhanced Alpha
  • Lesson 23 - Strengthen Your Online Presence Using LinkedIn
  • Lesson 24 - Optimize Your GitHub Profile
  • Lesson 25 - Intro to Backtesting
  • Lesson 26 - Optimization with Transaction Costs
  • Lesson 27 - Attribution
  • Project 8 :: Backtesting

Heath Robertson

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Udacity Term 2: AI Algorithms in Trading

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