Hackathon_Meghana

The solution involves loading and preprocessing the training and test datasets, including scaling the features. A Random Forest Classifier is trained using the training data, and its performance is evaluated using a validation set. The trained model is then used to predict the target variable for the test dataset. Finally, the predictions are formatted and saved in a CSV file for submission.

7/5/2024
19 views

Tags:  

#machine-learning