What is Feature Engineering | Feature Engineering for Machine Learning | Intellipaat #Shorts
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Get ready to explore the world of Data Science with our Intellipaat Podcast episode focusing on Data Science Roadmap 2024.
In this video, our esteemed guest, Mr.Parth Sharma, the Senior Manager of Data Science @ Piramal Finance will tell us “What is Feature Engineering”
Stay tuned!
✅What is AI feature engineering?
Feature engineering is the addition and construction of additional variables, or features, to your dataset to improve machine learning model performance and accuracy. The most effective feature engineering is based on sound knowledge of the business problem and your available data sources.
✅What is meant by feature engineering?
Feature engineering is the process of selecting and transforming variables when creating a predictive model using machine learning. It's a good way to enhance predictive models as it involves isolating key information, highlighting patterns, and bringing in someone with domain expertise.
✅What is feature engineering in data preprocessing?
Feature engineering and data preprocessing is the process of selecting, manipulating, and transforming raw data into features that can be used in supervised learning. To make machine learning work well on new tasks, it might be necessary to design and train better features