Classifying Data with Data Science

What is Machine Learning?

• A method of data storage.

• Training computers to learn patterns from data.

• A type of artificial intelligence.

• A programming language.

What is a Decision Tree?

• A programming technique.

• A type of machine learning algorithm.

• A method for data visualization.

• A tree-like structure used for decision-making.

What is the difference between Supervised and Unsupervised Learning?

• Supervised Learning uses labeled data.

• Unsupervised Learning uses labeled data.

• Both are the same.

• Neither uses data.

What is the purpose of LabelEncoder?

• To visualize data.

• To changed the caterogical label to numeric label

• To train models.

• To split data.

What libraries are used for creating visualizations in Python?

• matplotlib and seaborn.

• pandas and numpy.

• scikit-learn and TensorFlow.

• None of the above.

What is the function train_test_split used for?

• To divide data into training and testing subsets.

• To visualize data.

• To encode categorical data.

• To import datasets.

When use Unsupervised learning on machine, we have to make label for every data that we input.

• True

• False

When i want to check just a few rows of the data what command i should type in python?

• print(rows(5))

• print(df.head())

• check_num_rows

• rows.double

Is it necessary to have labeled data for training a model in Supervised Learning?

• False

• True

What cloud service we use yesterday to code?

• Alexa

• Gemni

• Google Collab

• lalala