9 functions

Predictive Analytics

Machine learning models and time series forecasting.

Functions

Fit, evaluate, and forecast with an ARIMA time series model.

Train, evaluate, and visualize a Naive Bayes classification model.

Train, evaluate, and visualize an XGBoost gradient boosted tree model.

Train, evaluate, and visualize a decision tree model for classification or regression.

Construct, fit, and evaluate exponential smoothing models for time series forecasting.

Train, evaluate, and visualize a K-Nearest Neighbors (KNN) model.

Train, evaluate, and visualize a multiple linear regression model.

Train, evaluate, and visualize a logistic regression model for binary classification.

Construct, train, and evaluate a deep neural network for classification or regression.

Build, evaluate, and interpret predictive models — classification, regression, and time series — without writing training loops from scratch.