Machine Learning Notebooks
A curated set of applied machine learning notebooks with crawlable summaries, project context, and links to the full interactive notebook renderings.
Pizza Steak Image Classifier
Binary image classification walkthrough using a Food-101 pizza and steak dataset, TensorFlow data loading, model training, and performance review.
Transfer Learning Fine-Tuning Experiments
Experiment log for transfer learning models trained with different data volumes, augmentation, and fine-tuning setups.
Classification Intro
Foundational classification notebook covering common classification types, neural network shapes, model runs, and evaluation.
Transfer Learning With TensorFlow
Transfer learning walkthrough covering feature extraction, fine tuning concepts, Food-101 data prep, and TensorBoard logging.
Multi-Class Convolutional Neural Network
Applied CNN notebook for ten-class image classification, including data inspection, model training, and overfitting checks.
Transfer Learning Fine Tuning
Fine-tuning notebook that contrasts sequential and functional model-building approaches with TensorFlow image datasets.
Transfer Learning With 101 Food Classes
Food-101 transfer learning notebook covering data preparation, dataset conversion, training, and loss-curve analysis.
Model Analysis In Depth
Model analysis notebook focused on evaluating a 101-class classifier, inspecting predictions, and comparing predicted labels.
Modeling With Transformations
Tabular modeling workflow showing data transforms, normalization, model training, and comparison with an earlier baseline.
Modeling And Wrangling
Data wrangling and modeling notebook covering CSV loading, one-hot encoding, train/test splits, model fitting, and MAE review.