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
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#machine-learning