Phone activity classification - project done during the course "Introduction to Machine Learning"

authors: Mikołaj Gałkowski, Tomasz Siudalski

data source: https://www.apispreadsheets.com/datasets/122

Classification problem (6 labels: WALKING, WALKING DOWNSTAIRS, WALKING UPSTAIRS, STANDING, LAYING, SITTING).

Used models XGBoost, SVC, Random Forest Classifier, Logistic Regression, KNN, Gaussian Naive Bayes.

Metrics used to compare results: accuracy, f1 score, recall, precision, roc auc.

Clustering documents

authors: Mikołaj Gałkowski, Tomasz Siudalski

data source: https://archive.ics.uci.edu/ml/datasets/Bag+of+Words

Clustering documents from 5 different sources

Used techniques: PCA, KMeans, Gaussian Mixture