Explain following terms. 1) F1 score 2) Root mean square error 3) Confusion matrix 4) AUC 5) ROC 6) Accuracy 7) Recall
[7 marks]List the tools for Machine Learning application development with detail.
[7 marks]Explain Different types of Machine learning.
[7 marks]How to find Nearest Neighbors in KNN algorithm.
[7 marks]Discuss Data type in context of Machine learning.
[7 marks]Explain PCA with appropriate example.
Write short note on Data pre-processing.
[7 marks]State difference between cross validation and k-fold.
[7 marks]Explain Data preprocessing in machine learning.
[7 marks]What is over fitting and under fitting explain with an appropriate example and figure.
[7 marks]Explain Decision Tree algorithm.
[7 marks]Explain Artificial Neural Network with suitable example.
[7 marks]Explain SVM algorithm with appropriate example.
[7 marks]Explain Association Rules and how it help to grow sales?
[7 marks]Explain K-means algorithms with an appropriate example.
[7 marks]What is Naïve Bayes classifier? Narrate Principle of Naive Bayes Classifier.
[7 marks]What is Regression? Explain its types in details.
[7 marks]