Upload a CSV dataset or choose one of the existing datasets below.
Predict median house prices in California districts using 1990 census data. Features include population, income, location, and housing characteristics. From the StatLib repository via scikit-learn.
Predict disease progression one year after baseline for diabetes patients. Includes ten baseline features like BMI, blood pressure, and blood serum measurements. From scikit-learn.
This dataset contains 10,000 entries created for the purpose of predicting car prices. Each row represents information about a car and its price. https://www.kaggle.com/datasets/asinow/car-price-dataset
Examine the factors influencing academic student performance. https://www.kaggle.com/datasets/nikhil7280/student-performance-multiple-linear-regression
Explore 11,768 laptops! Compare specs & predict prices with real-world data. https://www.kaggle.com/datasets/asinow/laptop-price-dataset
Contains 10,000 samples. Use mock property metadata to predict house prices.