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How is machine learning (ml) different from artificial intelligence (ai)?
What is feature engineering?
Can you explain rescaling data technique in data pre-processing?
What is the difference between probability and likelihood?
What is pca in ml?
What are the important data pre-processing techniques in python machine learning?
What is data set in ml?
What is dimensionality reduction?
What is data normalization in ml?
Explain the k-nearest algorithm different from the knn clustering?
What are the differences between machine learning and artificial intelligence?
What is difference between supervised and unsupervised learning algorithms?
What is data standardization in ml?
What are the smaller dataset techniques?
What is a classifier in machine learning?
