Interested to Buy Any Domain ? << Click Here >> for more details...
What is data standardization in ml?
- 1 Answers
- 143 Views
- I also Faced
- E-Mail Answers
Answer / Karan Vidyarthi
Data standardization, also known as feature scaling, is a preprocessing technique used in machine learning to bring the range of features within a dataset on an equal scale. This helps the model to compare and learn from all features equally, especially when using distance-based algorithms like k-nearest neighbors (KNN) or support vector machines (SVM).
| Is This Answer Correct ? | 0 Yes | 0 No |
What is a sigmoid function in Machine learning?
Explain the difference between machine learning and regression?
What are the basic requirements for machine learning?
What is conditional probability explain with an example?
What is the bias-variance decomposition of classification error in the ensemble method?
Explain the Genetic Programming in Machine Learning?
Is python better than r?
Why do ensembles typically have higher scores than individual models?
Why classification is important in machine learning?
What are the most common types of machine learning task?
What is dimensionality reduction? Explain in detail.
What are the different types of classifiers?
-
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)
