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

Principal Component Analysis (PCA) explained with examples

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 using simple 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)

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

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

Building a Deep Learning Model using Keras

In this post, let us see how to build a deep learning model using Keras. If you haven't installed Tensorflow and Keras, I will show the simple way to install these two modules.

Deep Learning Basics

Deep learning is a powerful machine learning technique. These are widely used in

  • Natural Language Processing (NLP)
  • image/speech recognition
  • robotics
  • and many other artificial intelligence projects