Exploratory data analysis
Palmer Penguins — load, inspect, missing values, plots.
Linear regression
Auto MPG — train/test split, metrics, coefficients.
Preview — PDF (exported with outputs). Click to expand.
Logistic regression
Iris — scaling, confusion matrix, decision boundary.
Preview — PDF (exported with outputs). Click to expand.
Decision trees
Wine dataset — train a tree, plot, feature importance.
Preview — PDF (exported with outputs). Click to expand.
Random Forest
Sonar — rock vs mine classification.
Preview — PDF (exported with outputs). Click to expand.
XGBoost
Iris — DMatrix API and sklearn classifier.
Preview — PDF (exported with outputs). Click to expand.
Gradient boosting compared
XGBoost, LightGBM, CatBoost on bank marketing data.
Preview — PDF (exported with outputs). Click to expand.
K-means clustering
Mall customers — elbow method, segments, silhouette.
Preview — PDF (exported with outputs). Click to expand.
Principal component analysis
Penguins & wine — variance, 2D projection, reconstruction.
Preview — PDF (exported with outputs). Click to expand.
Prophet forecasting
Microsoft stock — seasonality, future horizon, MAE.
Preview — PDF (exported with outputs). Click to expand.
Intro to PyTorch
Tensors, autograd, and training a model with PyTorch.
Preview — PDF (exported with outputs). Click to expand.
Simple neural network
Build and train a feedforward network in PyTorch.
Preview — PDF (exported with outputs). Click to expand.
Regularization & optimization
Dropout, batch norm, and learning rate schedulers.
Preview — PDF (exported with outputs). Click to expand.
CIFAR-10 CNN
Convolutional neural network for image classification.
Preview — PDF (exported with outputs). Click to expand.
Sales forecasting (LSTM)
LSTM for sequence-based time-series prediction.