Workshop ML

Which of the following best describes supervised learning?

• The model learns patterns without labeled data
  

• The model predicts outcomes using labeled data

• The model only clusters similar data points

• The model ignores input features

Which of these is an example of unsupervised learning?

• Predicting house prices

• Spam email detection

• Customer segmentation

• Predicting student grades

Which Python library provides powerful data structures like DataFrame for handling tabular data?

• NumPy

• Pandas

• Matplotlib

• Seaborn

What does ML workflow usually start with?

• Training the model

• Data collection & preprocessing

• Model evaluation

• Deployment

Which function in Pandas is commonly used to check for missing values?

• isnull()

• fillna()

• dropna()

• notnull()

Which plot is most suitable for visualizing the distribution of a single numerical variable?

• Line plot

• Histogram

• Scatter plot

• Heatmap

What does EDA (Exploratory Data Analysis) mainly help with?

• Building predictive models

• Understanding data patterns and anomalies

• Deploying ML systems

• Reducing computation time

If your dataset has categorical values like "Male" and "Female", which step is often needed before training?

• Normalization

• Encoding

• Data visualization

• Dropping columns

The confusion matrix shows:

• True positives, false positives, true negatives, false negatives

• Average prediction error

• Missing values in dataset

• Correlation between features

Which of the following is NOT a classification algorithm?

• Logistic Regression

• K-Nearest Neighbors

• Linear Regression

• Decision Tree