Jovian
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Version 27

Learn how to preprocess data, engineer features, use gradient boosting, cross validation, hyperparameter tuning, and make predictions in this course project.

course-assignment

Use the "Run" button to execute the code.

!pip install jovian --upgrade --quiet
!pip install numpy pandas matplotlib seaborn --quiet
!pip install jovian opendatasets xgboost graphviz lightgbm scikit-learn xgboost lightgbm --upgrade --quiet
|████████████████████████████████| 166.7 MB 18 kB/s |████████████████████████████████| 2.0 MB 34.1 MB/s |████████████████████████████████| 22.3 MB 1.3 MB/s 
import jovian