Complete the code to schedule automated retraining using a cron job.
0 0 * * * [1] retrain_model.sh
The cron job runs the retrain_model.sh script using bash to automate retraining daily at midnight.
Complete the code to load new training data from the correct directory.
data = load_data('[1]/new_data.csv')
The new training data is stored in the /data directory, so the path must point there.
Fix the error in the retraining function call to use the correct parameter name.
retrain_model([1]=data)The function expects the parameter train_data to receive the training dataset.
Fill both blanks to create a dictionary comprehension that filters fresh data and squares values.
{item: item[1]2 for item in dataset if item [2] 10}The comprehension squares items with **2 and filters items greater than 10 using >.
Fill all three blanks to build a dictionary of uppercase keys, values, and filter condition.
result = { [1]: [2] for [3], v in data.items() if v > 0}The keys are converted to uppercase with k.upper(), values are v, and the loop variable is k.