An Introduction to Classification Algorithms with 10 fundamental questions | An Infographic Note with questions and answers

 

Questions Covered :

Q1) What are Naive bayes Classifiers ?

Q2) What do you mean by Probabilistic Classification ?

Q3) What do you mean by Statistical Classification ?

Q4) Give an example of Statistical Classification .

Q5) What is a Classifier Algorithm ?

Q6) Give some examples of various forms of classification .

Q7) Which is the most used Classification algorithm in Statistics ?

Q8) What are some of the characteristics of a Classification problem ?

Q9) What are the popular acronyms for samples , independent and dependent variables in Machine learning (ML)

Q10) What is the difference between Binary Classification and Multiclass Classification ?

Infographic Notes on Applications of Machine Learning in Real World Applications