kodestree offers Data Preprocessing and Feature Engineering online training delivered by experienced data professionals through live classes. This course helps you understand how real-world datasets are cleaned, transformed, and prepared before building machine learning models. After completing the course, you will be prepared for job roles such as Data Analyst, Junior Data Scientist, Machine Learning Engineer, and Data Science Associate.
Prerequisites
- Basic understanding of Python programming
- Familiarity with basic data concepts and datasets
- Basic knowledge of statistics is helpful but not required
- Interest in machine learning and data analysis
What Will You Learn
- Fundamentals of data preprocessing for machine learning
- Techniques for handling missing values and outliers
- Data normalization and scaling methods
- Encoding categorical variables for machine learning models
- Basics of feature creation and feature selection
- Understanding how data preparation improves model performance
