
Python Crash Course Notebooks
Clean, beginner-friendly Python notebooks: data types, OOP, files, tests.
Clean, beginner-friendly Python notebooks: data types, OOP, files, tests.
ISOT + LIAR datasets; classical ML vs Bi-LSTM/GRU/CNN comparison; F1↑
CLI that initializes repos, pushes code, and sets branch protections.
CNN model classifying vehicle types; balanced dataset, real-world images.
End-to-end ML pipeline: feature engineering, XGBoost, SHAP explainability.
Churn model with calibrated probabilities and actionable insights.
Classic Snake with clean architecture and adjustable difficulty.
Geospatial features + LightGBM; robust evaluation and cross-city generalization.
Next.js + Tailwind marketing site with inventory grid and contact lead form.
Aerial imagery classifier to detect lot occupancy.
Corporate website with CMS-ready sections and responsive components.
Time-series + tabular model to forecast waste and optimize orders.
Interactive learning and quiz platform.
An AI agent plays a simple game using LLMs to decide actions and plan moves.