I am passionate about using data to solve complex challenges. Driven by the thrill of extracting meaningful insights from datasets, I specialize in developing predictive models and data-driven solutions rooted in statistical analysis and machine learning. This page is a collection of some of the tools and resources I've built to aid in that journey..
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Top 10% | Logistic Regression, Feature Engineering
Top 15% | XGBoost, Gradient Boosting, Stacking
99.5% Accuracy | Convolutional Neural Network (CNN)
Comprehensive static reference guide covering fundamental machine learning concepts, algorithms, and theoretical foundations.
Explore →Interactive decision tree based on Andrew Ng's "Machine Learning Yearning" for systematic ML problem diagnosis and solution strategies.
Diagnose 🔍End-to-end machine learning pipeline implementation guide with best practices for production-ready ML systems.
Build 🔧