Data comes from my bank transactions, google chrome web history, gmail email data (both accessed through Google Takeout), as well as responses to my daily Whoop (fitness tracker) journal. Compiled and analyzed in Python. Visualizations using Plotly. Insights developed through several combined ML approaches.
Amazing post, especially on the analysis. Some of those connections seem so detailed and unexpected. Can you share more about the ML approaches you applied?
thehallmarkcard OP t1_j8edgfu wrote
Data comes from my bank transactions, google chrome web history, gmail email data (both accessed through Google Takeout), as well as responses to my daily Whoop (fitness tracker) journal. Compiled and analyzed in Python. Visualizations using Plotly. Insights developed through several combined ML approaches.