
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.