Building the Road Risk Playground
A full-stack exploration of accident risk prediction and interactive geospatial modeling.When the Kaggle Playground Series S5E10 launched a challenge to predict road accident risk, I decided to take it further…
Calculating Road Curviness: A Practical Approach with Mapbox and Python
This month's Kaggle Playground Prediction competition is Predicting Road Accident Risk. This competition includes a second part to create a web application that uses the model to add some interactive…
Using SVG-playing-cards to Augment My Playing‑Card Classifier
In my earlier post, “Augmenting My Playing‑Card Classifier with AI‑Generated Test Cards”, I described how I attempted to expand my dataset by generating synthetic playing‑card images via AI. That effort…
Climbing the Kaggle Leaderboard: Bank Marketing with XGBoost
I recently joined Kaggle Playground Series – Season 5, Episode 8, a competition based on the classic UCI Bank Marketing dataset. The goal is straightforward: given customer demographics, account balances,…
Augmenting My Playing‑Card Classifier with AI‑Generated Test Cards
Introduction In my previous post, I walked through building a TensorFlow‑based playing‑card classifier that "guesses" the value of a card when presented an image of it. Once that was up…
Playing Card Classifier Using Machine Learning
Introduction I've been taking classes online with the goal of getting certifications in machine learning. The course "TensorFlow Developer Certificate - Image Classification" described how to put together a Convolutional…