feat(test): Add script for processing raw data, building features, and training model

This commit adds a new script `start.sh` that automates the process of processing raw data, building features, and training a model. The script uses Python scripts from the `src` directory to perform these tasks. The processed data is saved in the `data/processed` directory, the feature matrix is saved in the `data/features` directory, and the trained model is saved in the `models` directory.

The purpose of these changes is to streamline the data processing and model training workflow, making it easier to reproduce and iterate on the results.

code/start.sh

@@ -0,0 +1,10 @@
+#!/bin/bash
+
+# Process raw data
+python src/data/process_dataset.py data/raw/ data/processed/
+
+# Build features
+python src/features/build_features.py data/processed/processed_data.csv data/features/feature_matrix.npz
+
+# Train model
+python src/models/train_model.py data/features/feature_matrix.npz models/svm_model.pkl