Even if you are not in the field of statistics, you must have come across the term “Normal Distribution”. A probability distribution is a statistical function that describes the likelihood of obtaining the possible values that a random variable can take. By this, we mean the range of values that a parameter can take when […]

In this article we’ll see how we can plot K-means Clusters. K-means Clustering is an iterative clustering method that segments data into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centroid). Steps for Plotting K-Means Clusters This article demonstrates how to visualize the clusters. We’ll use the digits dataset for our cause. 1. Preparing Data […]

Naïve Bayes Classifier is a probabilistic classifier and is based on Bayes Theorem. In Machine learning, a classification problem represents the selection of the Best Hypothesis given the data. Given a new data point, we try to classify which class label this new data instance belongs to. The prior knowledge about the past data helps […]

Principal component analysis or PCA in short is famously known as a dimensionality reduction technique. It has been around since 1901 and still used as a predominant dimensionality reduction method in machine learning and statistics. PCA is an unsupervised statistical method. In this article, we will have some intuition about PCA and will implement it […]

We’ve already worked on PCA in a previous article. In this article, let’s work on Principal Component Analysis for image data. PCA is a famous unsupervised dimensionality reduction technique that comes to our rescue whenever the curse of dimensionality haunts us. Working with image data is a little different than the usual datasets. A typical […]

A density plot is used to visualize the distribution of a continuous numerical variable in a dataset. It is also known as Kernel Density Plots. It’s a good practice to know your data well before starting to apply any machine learning techniques to it. As a good ML practitioner we should be asking some questions […]