Probability, Statistics & ML Almanack

Non-curated collection of personal projects related to probability, statistics and machine learning.

Contents & Structure

• Probability

  • Probabilistic Analysis
    • Monte Carlo Probabilistic Analysis - Risk
  • Stochastic Processes
    • Introduction to Main Stochastic Processes (Including Code)
    • Basic Implementation of Main Stochastic Processes (Python)

• Statistics

  • Data Analysis
    • Exploring Bitcoin Market
    • Risk & Return Sharpe Analysis
  • Hypothesis Testing
    • Longest Head Run Analysis & Hypothesis Testing
  • Outlier Detection
    • Financial Time-Series - Outlier Detection
  • Regression
    • Linear Regression
    • Linear Regression Design
    • Logistic Regression and Clustering

• Machine Learning