Last Updated on May 18, 2020Machine learning algorithms like Linear Regression and Gaussian Naive Bayes assume the numerical variables have…

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## Build Better and Accurate Clusters with Gaussian Mixture Models

Expectation-Maximization in Gaussian Mixture Models Implementing Gaussian Mixture Models for Clustering in Python Introduction to Clustering Before we kick…

Continue Reading## Gaussian Mixture Models Explained

Don’t worry. I’ll try to keep the notation as clean as possible for better understanding of the derivations. First, let’s…

Continue Reading## Simple example of 2D density plots in python

Simple example of 2D density plots in pythonHow to visualize joint distributionsMadalina CiortanBlockedUnblockFollowFollowingMar 10This post will show you how to:Use a…

Continue Reading## An intuitive guide to Gaussian processes

An intuitive guide to Gaussian processesA maths-free explanation of an underappreciated algorithmOscar KnaggBlockedUnblockFollowFollowingJan 15Gaussian processes are a powerful algorithm for…

Continue Reading## Finding Land Area of Farm Plots Using Edge Detection

It’s possible that the values in the Sobel filter need to be played with to obtain these more blended regions.The…

Continue Reading## A Kernel for Mapping with Gaussian Processes

I ended up using this function because the computation of the geopy distance takes too long for gaussian process regression.Here…

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