Latest Posts From Abhishek Wasnik

Feature Image Normal Dist

Normal Distribution in Python

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 […]

Plotting K Means Clusters With Python

How to Plot K-Means Clusters with Python?

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 […]

Naive Bayes Classifier With Python

Naive Bayes Classifier with Python

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

Principal Component Analysis from Scratch in Python

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 […]

Principal Component Analysis For Image Data

Principal Component Analysis For Image Data in Python

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 […]

Density Plots In Python

Density Plots in Python – A Comprehensive Overview

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 […]