Introduction to Machine Learning Quiz

What is Machine Learning?

• Programming computers manually

• Teaching computers to learn from data

• Building hardware machines

• Designing websites

Which type of ML involves labeled data?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Deep Learning

What is the first step in an ML workflow?

• Model Deployment

• Data Collection

• Hyperparameter Tuning

• Model Training

Data preprocessing involves:

• Training the model

• Cleaning and transforming data

• Deploying models

• Writing reports

Which method is used to split data into train and test sets in Python?

• split_data()

• train_test_split()

• data_divider()

• random_split()

What does feature scaling do?

• Deletes features

• Normalizes feature values

• Multiplies feature values by 100

• Creates new features

What is the equation of Simple Linear Regression?

• y = mx + c

• y = a² + bx + c

• y = log(x)

• y = sin(x)

Which metric measures the average of squared differences between predictions and actual values?

• MAE

• MSE

• R²

• Accuracy

In Multiple Linear Regression, multicollinearity refers to:

• Features being highly correlated

• Models overfitting

• Data being noisy

• Labels missing

Logistic Regression is mainly used for:

• Regression Problems

• Classification Problems

• Clustering Problems

• Dimensionality Reduction