Introduction to the concept of "Term Frequency - Inverse Document Frequency (TF-IDF)" with 3 general questions and answers | An Infographic Note

 

More on this at : https://towardsdatascience.com/tf-idf-for-document-ranking-from-scratch-in-python-on-real-world-dataset-796d339a4089

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 ?

Comparision of Arrays with respect to their method of usage and handling in Numpy and SciPy Libraries of Python

 

AWS ( Amazon ) Web Services - Predominant Characteristics of any Cloud Computing Application and Application Server

 

AWS ( Amazon ) Web Services Advantages and management console

 

Amazon Web Storage Services

 

Some usages and applications of Naïve Bayes Algorithms over Data Science - Data Science Interview Questions

 

Question on Data Ssience - What are the disadvantages of using Naive Bayes Classifier Algorithm

 

Questions on Data Science - What are the advantages of working with the Naive Bayes Classifier Algorithm

 

Infographic Short Note on usage of FIND-S Algorithm and its Representation and its intrinsic Steps in applications of Machine Learning

 

Infographic Short Note on Find-S Algorithm for search finding over any Hypothesis space in Machine Learning

 

Infographic Short Note on Find-S Algorithm and its representation for positive case of attribute notation involving Machine Learning

 

Infographic Short Note on Search Finding S-Algorithm involving Machine Learning which is used for efficient generalisation of sample data

 

Infographic Short Note on Design Learning in Statistics and its usage over a Hypothesis Problem involving Machine Learning

 

Infographic Revision Short Note on Designing a Training Algorithm using target state values for a problem in Statistics , Analytics and Machine Learning