Which of the following statements is/are correct about unsupervised machine learning?

Logistic regression can be used with which of the following types of dependent variables?

Which ofthe following boosting algorithms implements regularization that helps in reducing overfitting?

What is the accuracy of Naive Bayes algorithm used for classif‌ication?

Which SimPy operations is used for indicating the passage of a certain amount of time within a thread?

Which Python tool that extends the functionality of NumPy and SciPy packages and provides functions for performing classif‌ication. regression, clustering and dimensionality reduction, model selection. and preprocessing?

The new dataset you have just scraped seems to exhibit lots of missing values. What action will help you minimizing that problem?

The activations for class A, B and C before softmax were 10,8 and 3. The different in softmax values for class A and class B would be :

(Mostly) whenever we see kernel visualizations online (or some other reference) we are actually seeing:

You work for a website that helps match people up for lunch dates. The website boasts that it uses more than 500 predictors to find customers the perfect date, but many costumers complain that they get very few matches. What is a likely problem with your model?

Asian user complains that your company's facial recognition model does not properly identify their facial expressions. What should you do?