Neptune

Load Data: Load training, test, and sample submission datasets. Encode Features: Convert categorical features into numerical values. Preprocess Data: Impute missing values and standardize features. Train/Test Split: Split training data into training and validation sets. Train Model: Train a RandomForestClassifier. Evaluate Model: Assess accuracy on validation set and perform cross-validation. Predict: Predict labels for test data. Save Predictions: Save the predictions in the sample submission format.