Stemming Concept for text pre-processing in Natural Language Processing Conceptual Infographic Notes | Stemming Concept with example and explanatory notes

 

Building "HangMan" Game Project in Python | Word Guessing Game from Letters | Infographic Note with Code and Step by Step Explanation

 

Twitter Sentiment Analysis Conceptual Infographic Notes | Getting Started with Sentiment Analysis based NLP Project with its main objectives , considerations , challenges , Approach and Steps

 

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 ?

Building "Rock-Paper-Scissors" Game Project in Python using Random Module and Conditional Loops | Infographic Note with Code and Explanation

 

Building a "Number Guessing Game by Computer" Project in Python using Random Module | Infographic Note with Code and Explanation