One can Try Extreme-ML without uploading the datasets Use any email (yahoo / gmail anything) to login -- https://demo.extrememl.ai/ Training Data sets - In lieu of uploading the file, users can select web URL as shown below. And then right click and copy paste hyperlink. This way, users will validate various features of Extreme-ML. Also, users can put any github dataset as web URL and it will work. Users can also watch youtube video of using web URL as well https://youtu.be/Rg9pcIfqYW4 Select Web URL for the purpose For Classification / Supervised Machine Learning - Home Equity Data- https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/Supervised_ML_homeequity.csv Bank Campaign Data - https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/Supervised_ML_bank_market.csv For time series forecasting - Bulk time series forecasting - Bank wise # of credit cards and purchase values - https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/TS_Bank_wise_data.csv Share price prediction - https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/TS_commodity_code-1_Excel.xlsx Text Mining - Movie review - https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/Text_Mining_User_restaurants_reviews_01.csv Data Visualizations - Bank wise RBI Data - https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/Visualization_Data_RBI_Apr22_Mar26_Short.xlsx Super Store Data - https://raw.githubusercontent.com/ExtremeML/DemoData/refs/heads/main/Visualization_SuperStoreData.xlsx