Practice Ml Fundamentals & Data Preparation (1) - ML Fundamentals & Data Preparation
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ML Fundamentals & Data Preparation

Practice - ML Fundamentals & Data Preparation

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is machine learning?

💡 Hint: Think about how the computer improves without human commands.

Question 2 Easy

Name two types of machine learning.

💡 Hint: Consider the difference between labeled and unlabeled data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of supervised learning?

To cluster data into groups
To predict outcomes from labeled data
To reduce dimensions

💡 Hint: Think about what labeled data provides.

Question 2

True or False: PCA is used to increase the number of dimensions in data.

True
False

💡 Hint: Consider what PCA aims to achieve.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a dataset with missing values. Discuss the advantages and disadvantages of using deletion versus imputation to handle these values.

💡 Hint: Consider data integrity and the potential impact on analysis.

Challenge 2 Hard

You have a dataset with high dimensionality. Explain how PCA can help improve your machine learning model's performance.

💡 Hint: Think about model simplicity versus complexity.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.