index.yaml

- url: https://www.kaggle.com/mnassrib/titanic-logistic-regression-with-python
  data: https://www.kaggle.com/c/titanic

- url: https://www.kaggle.com/karnikakapoor/customer-segmentation-clustering
  data: https://www.kaggle.com/imakash3011/customer-personality-analysis

- url: https://www.kaggle.com/iamleonie/intro-to-time-series-forecasting
  data: https://www.kaggle.com/c/acea-water-prediction
  files: Aquifer_Petrignano.csv

- url: https://www.kaggle.com/kanncaa1/feature-selection-and-data-visualization/
  data: https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

- url: https://www.kaggle.com/faressayah/linear-regression-house-price-prediction/
  data: https://www.kaggle.com/vedavyasv/usa-housing

- url: https://www.kaggle.com/yuyougnchan/look-at-this-note-feature-engineering-is-easy
  data: https://www.kaggle.com/c/house-prices-advanced-regression-techniques