Why do we convert categorical variables into factor?
Answer / Sudhakar Kumar Jha
We convert categorical variables into factors to ensure that R treats them as discrete values instead of continuous ones. This allows for easier manipulation and analysis.
| Is This Answer Correct ? | 0 Yes | 0 No |
“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?
What is the F1 score?
What was bayes’ theorem? How was it useful in a machine learning context?
What is the use of gradient descent?
Tell us how do you handle missing or corrupted data in a dataset?
Explain the most common types of machine learning task?
What is the objective of machine learning?
What is the baseline in machine learning?
What is PCA, KPCA and ICA used for?
Explain when should you use classification over regression?
Can you explain bias-variance trade-off?
What is the use of naive bayes?
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)