Review2

What are data pre-processors? Can you list three pre-processors in scikit-learn? Use two sentences to explain each of them. Why do we use pre-processors?
What does the train_test_split function do in scikit learn?
Can you explain the steps of K-nearest neighbors?
What are the strategies to split the data with decision tree? (Need to know how to calculate Gini index and information gain)
What are the differences between Decision Tree and Random Forest?
Can you explain how Logistic Regression works? What is quantizer? How does multi-class logistic regression work?
Need to understand and know how to compute confusion matrix, recall, false positive rate, precision, f-measure and g-measure
How to determine the centroids in KMeans clustering algorithms?
Explain linear regression. What are simple linear regression and multiple linear regression?
What are the differences between Decision Tree classification and Decision Tree Regression
How to evaluate regression models? Can you list two metrics to evaluate regresion models?

Provide feedback