Diamonds predict kaggle Competition.

Here you have the link of the competition Link

Description:

The competition consists of who makes the best prediction to predict the different prices of a dataset of 40,000 diamond samples.

I try three different algorithms which gave me these RMSE results:

• Gradient Boosting Regressor : 528.06

• Random Forest Regressor : 535.29

• XGB Regressor : 539.22

Dependencies:

• numpy
• pandas
• sklearn
• xgboost

The algorithms can do a better performance with a different adjustment.