I participated in this competition just to start my kaggle journey after the first trimester in UCD, where I got to learn EDA and checking of statistic of regression and optimizing the parameters to get good results, I thoug practising on kaggle will help me build my potfolio as well as get me learn from the community of data analysts.
In this playground series I am to do regression on Insurance dataset provided on kaggle
The dataset for this competition (both train and test) was generated from a deep learning model trained on the Insurance Premium Prediction dataset. Feature distributions are close to, but not exactly the same, as the original. Feel free to use the original dataset as part of this competition, both to explore differences as well as to see whether incorporating the original in training improves model performance.
train.csv - the training dataset; Premium Amount is the continuous target
test.csv - the test dataset; your objective is to predict target Premium Amount for each row
sample_submission.csv - a sample submission file in the correct format
Ranked 984 on my first Kaggle competition, good learning curve, onto next one!
