ML workflow (collect, prepare, train, evaluate, deploy) in ML Python - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Identify the correct order of ML workflow steps

Which of the following lists the steps of a typical machine learning workflow in the correct order?

A Collect data, Prepare data, Train model, Evaluate model, Deploy model

B Prepare data, Collect data, Train model, Deploy model, Evaluate model

C Train model, Collect data, Prepare data, Evaluate model, Deploy model

D Collect data, Train model, Prepare data, Evaluate model, Deploy model

❓ Predict Output

intermediate

Output of data preparation step

Given the following Python code snippet for data preparation, what is the output of the variable prepared_data?

ML Python

raw_data = [10, 20, None, 30, None, 40]
prepared_data = [x for x in raw_data if x is not None]

A [10, 20, 30, 40]

B SyntaxError

C [None, None]

D [10, 20, None, 30, None, 40]

❓ Model Choice

advanced

Choosing the right model for classification

You have a dataset with labeled images of cats and dogs. Which model type is best suited for this classification task?

A Linear Regression

B Convolutional Neural Network (CNN)

C K-Means Clustering

D Principal Component Analysis (PCA)

❓ Metrics

advanced

Evaluating model performance with accuracy

A model predicted 80 correct labels out of 100 total samples. What is the accuracy of the model?

A 0.2

B 80

C 0.8

D 1.25

🔧 Debug

expert

Debugging deployment code error

You have this Python code to deploy a trained model, but it raises an error. What error does it raise?

ML Python

def deploy_model(model):
    model.save('model_path')

trained_model = None
deploy_model(trained_model)

A NameError: name 'model' is not defined

B TypeError: deploy_model() missing 1 required positional argument

C SyntaxError: invalid syntax

D AttributeError: 'NoneType' object has no attribute 'save'