Analysis of runners’ performance data from the 46. Warsaw Marathon (2024) shows application of unsupervised learning techniques, including PCA for dimension reduction and clustering methods such as K-Means, Hierarchical, PAM, CLARA, and DBSCAN.

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This analysis successfully applied multiple text mining techniques to examine mental health discussions on Reddit across different time periods. Key achievements: Exploratory Data Analysis - identified the most frequent terms and themes in ADHD subreddit Clustering - grouped similar terms and posts to reveal underlying patterns in mental health discourse Topic Modeling - discovered latent topics using LDA, revealing distinct discussion themes Sentiment Analysis - tracked emotional tone across periods using multiple lexicons (Bing, AFINN, NRC) Text Networks - visualized word co-occurrence patterns through bigram networks