What is feature engineering?
Answer / Sangam Pandey
Feature engineering is the process of creating new features from the existing data, with the goal of improving the performance of machine learning models. This can involve various techniques such as extracting domain knowledge, combining multiple features, or creating interactions between them.
| Is This Answer Correct ? | 0 Yes | 0 No |
Why naive bayes is called naive?
What is difference between supervised and unsupervised learning algorithms?
Which os is good for machine learning?
What are Bayesian Networks (BN) ?
What are the different Algorithm techniques in Machine Learning?
What are the three stages of building the hypotheses or model in machine learning?
What is supervised versus unsupervised learning?
What is Model Selection in Machine Learning?
How is KNN different from K-means clustering?
Which language is better for machine learning r or python?
What is a sigmoid function in Machine learning?
Is Python enough for machine learning?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)