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Natural Language Processing made simple: Word Cloud, Sentiment Analysis and Topic Modelling

In this chapter, let us understand

• What is NLP?
• Concepts
• How to get word cloud?
• How to perform sentiment analysis?
• How to build Topic modelling?
• Summary

Hierarchical and K-means cluster analysis with examples using sklearn

In this post, we will explore:

• What is cluster analysis?
• Hierarchical cluster analysis
• K-means cluster analysis
• Applications

Demystifying Principal Component Analysis (PCA): A Beginner's Guide with Intuitive Examples & Illustrations

In this post, let us understand

• What is Principal Component Analysis (PCA)
• When to use it and what are the advantages
• How to perform PCA in Python with an example

Understanding Naive Bayes: A Beginner's Guide with Visual Illustrations & Examples

Thomas Bayes was an English statistician. As Stigler states, Thomas Bayes was born in 1701, with a probability value of 0.8! (link). Bayes' theorem has a useful application in machine learning. His papers were published by his friend, after his death. It is also said that his friend has used the theorem to prove existence of God.

Support Vector Machines (SVM) Explained with Visual Illustrations

Suppose there are two independent variables (features): x1 and x2. And there are two classes Class A and Class B. The following graphic shows the scatter diagram.

Logistic Regression: A Beginner's Visual Guide

Logistic regression is a supervised learning technique applied to classification problems.

In this post, let us explore:

• Logistic Regression model
• Advantages
• Disadvantages
• Example
• Hyperparemeters and Tuning