Welcome to my collection of go-to resources. It’s a mix of what I use, teach, and love in data science, machine learning, and finance. Perfect for professionals and beginners looking to sharpen their skills… and hopefully to contribute!
Data Analysis | Hypothesis Testing | Regression Models | Time Series Forecasting | Predictive Analytics | Prescriptive Analytics | Decision Trees
Python Basics | Data Structures | Pandas & NumPy | Object-Oriented Programming | Web Scraping | Automation & Scripting | API Integrations
Data Cleaning | Feature Engineering | Statistical Methods | Probability Distributions | Dimensionality Reduction | A/B Testing & Experiment Design | Data Pipelines | Big Data Technologies | Cloud Computing | Ethics & Bias
Supervised & Unsupervised Learning | Feature Selection | Model Tuning | Ensemble Methods | Gradient Boosting | Explainable AI | AutoML | Bayesian Machine Learning
Data Storytelling | Effective Dashboards | Chart Types & Best Practices | Interactive Visualizations | Power BI & Tableau
Neural Networks | Backpropagation | Convolutional Neural Networks (CNNs) | Recurrent Neural Networks (RNNs) | Transformers | Autoencoders | GANs
Strategic Asset Allocation (SAA) | Monte Carlo Simulations | MinVar Portfolio | Risk Parity | Factor Investing | Portfolio Optimization | Tactical Asset Allocation (TAA) | Hedging with Derivatives
Factor Models | Alpha Generation | Smart Beta Investing | Algorithmic Trading | Backtesting Strategies | Regime-Switching Models | Bayesian Methods
Real Estate Market Trends | Geospatial Analysis | Automated Valuation Models (AVMs) | Time Series Forecasting | Hedonic Regression Modeling