work Predicting bank customer churn with ML Classification models with Random Forest, AdaBoost and SVM A/B Testing for marketing campaign selection t-test to determine the best of 3 marketing campaigns Time series forecasting for non-transparent markets (wood waste) ARIMA, Decision Tree, Random Forest, XGBoost & Prophet for forecasting Discovering waste price determinants Finding correlations between the price of waste and various potential price determinants. Audience segmentation with unsupervised learning kMeans clustering of visitors to Google Merchandise Store Does ChatGPT have a political bias? Detecting political bias in ChatGPT responses using NLP Quantifying climate change Global temperature change since the Industrial Revolution tinkering RAG + Langchain – Interacting with PDF documents using prompts Experimenting with OpenAI LLM to extract info from PDFs through prompts fun What my RunKeeper data says about my cardio habits I analysed my RunKeeper data for free to see trends in distance, calories burned and more Visualization of sentiment and narrative in Star Trek scripts Boldly going where no sentiment analysis has gone before How politically biased are some of the top subreddits? Using NLP to detect political bias in some top subreddits How "positive" and "energetic" are The Beatles songs? Interactive visualization of energy, positivity and more from Spotify API data What does IMDb data say about the Golden Age of cinema? Analyzing movie ratings using IMDb data to identify a period of top rated films
