Notebooks

Most of this is not updated, since I do most of my work in google colab.

iPython Notebook folder

Note: Anomaly detection (cybersecurity) Repo related exercises are it my Cyber Security Repo

Note: Finance Repo

Contents

• Holt, Arima, LinearRegression, and SVM.ipynb
  • non-ML approach to time series predictions prediction
• Notebooks in Time Series for different algorithmic trading methods
  • Most my work in on Google Colab (stuff here is not necessary final)
  • Attempting to predict a random walk, after I am done, I will combine to non ML method I learned into “my best trading algo”.... I will strive to best that with deep learning
    • I doubt ill be able to without resorting to any cheap tricks (like only trading SPXL,SPXU; 3x leverage SP500 ETFs)

Datasets worked on:

• Intrusion Detection System (cybersecurity) related exercises
  • Variational_autoencoder_with_gumbel_softmax_pytorch.ipynb
• Cifar
  • Transfer learning
  • Dealing with over fitting; Where to add noise in a deep CNN
• MNIST
  • Just the “normal” CNN approach. Will revisit after I formally learn this in CMPT 419 at SFU (my university)
• Pima indians diabetes dataset
  • Evaluating effects of combinations of, Feature selection, Data cleaning, PCA for dim reduction
• Credit card Fraud
  • AutoEncoder
• Boston Housing
  • Recommendation system
  • Price Prediction
• Any others..

Datasets also worked on:

Nothing worthy of note

• Students-performance-in-exams
• Titanic
• CallCenter
• Lower Back Pain Symptoms