1.2 - Data Preprocessing
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is the purpose of data preprocessing?
💡 Hint: Think about why raw data can't be used directly.
Name one technique used in noise filtering.
💡 Hint: Consider what could cause errors in sensor data.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary goal of data preprocessing?
💡 Hint: Remember the steps involved in preparing data.
Does normalization help in ensuring each feature contributes equally during training?
💡 Hint: Consider how data ranges might affect a model's performance.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have temperature data collected from a factory machine but it's littered with outliers and gaps. Describe a strategy to preprocess this data effectively.
💡 Hint: Think about what each step you learned does.
Design a machine learning model’s preprocessing pipeline for predictive maintenance using IoT data. Include each preprocessing step and justify its importance.
💡 Hint: Consider the factors affecting machine failure and how you'd detect them.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.