A pure-Rust workspace for classical ML: scikit-learn-style preprocessing & models (datarust) plus one-call data profiling & quality reports (datarust-profile). Zero dependencies by default.

Scientific programming through the SKLearn / Scikitlearn library

Predicting Titanic survival using machine learning models with age, sex, ticket class, and fare. Tested linear regression, logistic regression, and KNN with cross-validation and metrics like accuracy and recall. The best-performing model is available on GitHub with code, data, and results.

My First Machine Learning Training using the dataset of Earthquake. Tested using Decision Tree Model and Random Forest Classifier