Projects
- 50project records
- 6categories
- 20reference implementations executed
Project records
- Will this flight fill? A from-scratch numpy MLP vs gradient boosting on airline booking snapshots
Twenty-one days before departure, which flight-days will finish at or above 90% load factor, so that the revenue manager can close the lowest fare bucket earlier on them? And does a small neural network add anything…
aviationsyntheticreference executed - Catalogue thumbnails: a small CNN vs pixel baselines on Fashion-MNIST
A (hypothetical) apparel retailer's catalogue team assigns one of ten garment types to every new product image. Can a small convolutional network pre-fill the category accurately enough that staff review only the…
retailpublic - Day-ahead household load: a 1-D CNN or GRU against seasonal naive and lag regression
A (hypothetical) energy retailer piloting demand response needs a day-ahead hourly load forecast for each enrolled household to plan flexibility offers.
energypublic - Few labels, foreign domain: frozen ImageNet features vs a small CNN on EuroSAT land cover
A (hypothetical) property and crop insurer wants to tag land cover around insured locations from satellite tiles to prioritise exposure reviews, but can pay for only a few hundred labelled tiles.
insurancepublic - Same product, different shop: TF-IDF vs sentence embeddings for product matching on Abt-Buy
A price-comparison team must link each product in retailer A's catalogue to the same product in retailer B's catalogue.
e-commercepublic - Routing airline complaints: TF-IDF + logistic regression vs a small neural text classifier
An airline's social-care team wants negative customer tweets routed automatically to the right queue (for example delays, cancellations, baggage, customer service).
aviationpublic - Is it the learning rate or the seed? A repeated-seed ablation of learning rate, weight decay and dropout
A team standardising a small-network template keeps getting conflicting results from single training runs. Which learning-rate and weight-decay settings train a small MLP reliably on a small image-like dataset, and how…
cross-industrybundled-with-libraryreference executed - Debugging a neural training script that runs but does not learn
A (simulated) churn-model training script in a telecom analytics team runs without errors, the loss curve looks plausible, and validation AUC sits near chance.
telecomsyntheticreference executed