A Repo for my mini side-projects.

📱 iphone_activity_data: Explore data downloaded from my iPhones "Health" app. Insight drawn from the data, regarding my daily routine (as a yearly time series) and sleep statistics - using a combination of (mostly) Pandas and Seaborn.

⚽ kmeans_clustering: A practical example of K-means clustering using FIFA 18 player data and the Sk-learn python library. Premier league players attributes are subject to PCA and K-means clustering, from which their similarities in playing styles are visually compared.

📨 nlp_whatsapp: An example of how the NLTK library can be used to gain insight from textual data. Classifying Dialogue, POS tagging, Lexical Diversity, Emojis, Sentiment, and an added bonus of some time series analysis.

🏆 fantasy_premier_league: I probably spend too much time on Fantasy Premier League... Here, I use the FPL python API wrapper to download some of my leagues data to (ultimately) make some nice plots.