Data Cleaning and Transformation
Online Learning · Further Education · Advanced Data Science and Machine Learning
This unit covers the essential techniques for cleaning and transforming data, including handling missing values, outliers, and data normalization. By the end of this unit, you will be able to prepare your data for machine learning models effectively.
Zum Üben gibt es 44 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Types of missing values
- Methods for handling missing values
- Identification of outliers
- Methods for transforming data
- Methods for normalizing data
- Applications of data cleaning and transformation in machine learning
Stichworte
- Data Cleaning
- Data Transformation
- Missing Values
- Outliers
- Data Normalization
- Machine Learning
- Data Preprocessing
- Feature Engineering