Explore Logistic Regression, Decision Tree, and more!

Logistic Regression vs Decision Trees vs SVM Part1

we'll be discussing major three of the many techniques used in classfication, Logistic Regression, Decision Trees and Support Vector Machines

How to understand one of the most important concepts in data analysis: Here's a refresher on regression analysis

A Refresher on Regression Analysis

This post will introduce you to bayesian regression in R, see the reference list at the end of the post for further information concerning this very broad topic. Bayesian regression Bayesian statistics turn around the Bayes theorem, which in a regression context is the following: $$ P(theta|Data) propto P(Data|theta) times P(theta) $$ Where (theta) is […]

This post will introduce you to bayesian regression in R, see the reference list at the end of the post for further information concerning this very broad topic.

Background Backpropagation is a common method for training a neural network. There is no shortage of papers online that attempt to explain how backpropagation works, but few that include an example...

Background Backpropagation is a common method for training a neural network. There is no shortage of papers online that attempt to explain how backpropagation works, but few that include an example.

multiple linear regression R (Pinterest has literally everything)

Learn how R provides comprehensive support for multiple linear regression. The topics below are provided in order of increasing complexity.

PCR part1

Principal Components Regression, The Standard Method

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data - The Most Complete List of Best AI Cheat Sheets

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