- 000_Forbes
- 001_Titanic
- 002_Love
- 003_Taxi
- 004_NYC_Calls
- 005_London_Airbnbs
- 006_Fifa
- 007_Tornados
- 008_Central_Park
- 009_ECommerce_Reviews
- 010_SF_Police
- 011_Heart_Failure
- 012_Roller_Coasters
- 013_Airbnb_Madrid
- 014_Food_Names_Embeddings
- 015_Holiday_Package_Sales
- 016_Hacker_News
- 017_Staff_Satisfaction
- 018_Aircraft_Accidents
- 019_Real_Estate_Madrid
- 020_Telco_Customer_Churn
- 021_Airbnbs_Listings_NY
- 022_Climate_Madrid
- 023_Salary_Survey_Spain
- 024_Data_Driven_SEO
- 025_Predicting_Wine_Quality
- 026_Supermarket_Sales
- 027_Predict_Diabetes
- 028_NYTimes_World_In_2021
- 029_Professionals_Kaggle_Survey
- 030_Trustpilot_Reviews
- 031_Delicatessen_Customer_Segmentation
- 032_Employee_Attrition
- 033_World_Happiness_Report
- 034_Billboard_Lyrics
- 035_US_County_To_County
- 036_Ted_Talks
- 037_Stroke_Likelihood
- 038_Happy_Moments
- 039_Speed_Dating
- 040_Airline_Twitter_topics_and_sentiment
- 041_Predict_Student_Performance
- 042_Predict_Loan_Default
- 043_IMDb_Movies
- 044_Predict_Spotify_Songs_Popularity
- 045_120_Years_Olympics
- 046_Bank_Customer_Churn
- 047_Data_Science_Salary_Data
- 048_Boris_Johnson_UK_PM_Tweets
- 049_ING_2019_Twitter_Mentions