Mayur

A Comprehensive Guide on Recommendation Engines and Implementation

This guide entails with different kinds of implementation that you could learn with respect to recommendation engines.

PCA(Principal Component Analysis) on MNIST Dataset

PCA is the technic of dimensionality reduction. Here we are going to learn about PCA and its implementation on the MNIST dataset.

Customer Churn Prediction Using Artificial Neural Network

In this article, we are going to build a Customer Churn Prediction Using Artificial Neural Network to estimate how many employees might leave

Why Geometric Intuition of Logistic Regression Matters More Than Other Intuitions?

In this article, we will try to understand Why Geometric Intuition of Logistic Regression Matters More Than Other Intuitions.

How KNN Uses Distance Measures?

Distance measures are objective scores that summarize the difference between two objects in a specific domain. Let's see some of them.

Mathematics Behind Principle Component Analysis In Statistics

This article is based on the mathematics behind the dimensionality reduction techniques called Principle Component Analysis

Create CNN Model and Optimize Using Keras Tuner – Deep Learning

Artificial Neural Network Using Breast Cancer Dataset

In this article, first we will discuss Deep learning, Artificial neural network and later we will develop a model using breast cancer dataset.

Data Science Use Cases in Retail Industry

In this article let's see the top 10 Data science use cases that were used by retail industries to grow their industries in today's world.

Bar Chart Race of World Population by 2020 in Python

Bar chart race is a advanced data visualization to create animated bar charts. Let's create a racing bar chart to understand world population