Machine Learning Works

Inspiring middle and high school students by introducing them to fascinating machine learning concepts in simple and fun ways

Welcome to Machine Learning Works! My name is Anirudh Pai and I am a student at UC Berkeley studying EECS with a passion for computer science and artificial intelligence. I recently began learning about machine learning, so I created this website to document my journey as I learn about new models and implement them in Python.

To do this, I’ve created a blog where I am going to be writing articles explaining different machine learning algorithms in a simple yet thorough way. I’m also going to be providing step-by-step explanations and code for some of the projects that I have been working on so that others can follow along as they learn.

LATEST TUTORIALS
Bag of Words Models
Bag of Words Models

Learn about how the traditional bag of words model serves to convert input from a textual to numeric format for machine learning.

Polynomial Regression
Polynomial Regression

Learn about the intuition behind and implementation of polynomial regression in Python.

Mean Squared Error Cost Function
Mean Squared Error Cost Function

Learn about the mean squared error cost function, a mathematical formula that helps machine learning models evaluate the accuracy of their data representation.

LATEST PROJECTS
Bank Churn Modeling
Bank Churn Modeling
Market Basket Analysis
Market Basket Analysis

Learn how to create an associate rule learning algorithm for the classic market basket analysis project.

Wildfire Detection
Wildfire Detection

Learn how to create a neural network to detect the presence of wildfires in images.