BigML Tutorials

For a gentle introduction to BigML, we recommend the following tutorials that are mostly written or recorded independently by Machine Learning practitioners from around the world.

SEP 22 2022

How to Predict Customer Churn using BigML

by Mandula Thrimanne

This tutorial presents how you can use your own customer data to identify which of your current customers are more likely to churn.

SEP 15 2022

Topic Modeling with BigML (No code AI tool)

by Ibekwe kingsley

This is a detailed guide on how to perform Topic Models by just dragging and dropping your data using the BigML platform.

OCT 16 2020

Getting Started with BigML

by Chhaya Wagmi

This guide presents step by step how to create an end-to-end project using Time Series with an AirPassengers dataset.

FEB 5 2020

How to Use Machine Learning (If You Can’t Code) to Help your Keyword Research

by Andy Chadwick

This article presents a real-life example of how to categorize keywords automatically and accurately by utilizing Machine Learning models.

DEC 4 2017

Who buys pink iPhones?

by Erin Weaver

This short video tutorial shows how to use the BigML Dashboard to predict the customer profile that will buy pink iPhones.

SEP 8 2017

A Brief Introduction to Machine Learning for Engineers

by Osvaldo Simeone

This monograph aims at providing an introduction to key concepts, algorithms, and theoretical frameworks in Machine Learning, including supervised and unsupervised learning, statistical learning theory, probabilistic graphical models and approximate inference.

AUG 27 2017

Fantasy Football + Artificial Intelligence Cheat Sheet

by Justin Hart

In this post, Machine Learning meets fantasy football. The author builds a predictive model to dominate his 2017 fantasy football league with AI and ML.

AUG 8 2017

Machine Learning: Understanding U.S. Poverty

by Justin Hart

This post shows how to determine the best predictors of poverty rates across counties in the United States.

JUL 4 2017

Predicting Wine Quality Using Meteorological Information

by Ramon Julià

Could you predict if a particular wine would be of good or poor quality just by knowing certain climatic conditions during a growing season?

JUN 26 2017

Machine Learning Picks 21 Start-ups to Watch

by Justin Hart

This post narrows down a list of 100+ startups with high probability to become successful and selects the best ones applying Machine Learning.

JUN 13 2017

Watch Me Predict Startup Winners with Artificial Intelligence and Machine Learning

by Justin Hart

This post shows how we can use historical stock data to predict venture-backed startup success   or failure.

JUN 6 2017

Using Machine Learning to Understand Terrorists

by Justin Hart

This post explains a use case that uses BigML to find commonalities among terrorists that help us understand who they are.

APR 18 2017

Machine Learning in Action

by Justin Hart

Using Machine Learning to find patterns among US citizens in order to analyze their votes for the Presidential election.

FEB 14 2017

Machine Learning with Python: BigML Local Models & Predictions

by Teresa Álvarez

This video shows how to create a model from a remote CSV file, and use it to make local predictions for new instances using BigML Python Bindings.

JAN 18 2017

How to use Machine Learning to improve your ML models

by Andrés González García

With this step by step tutorial you will learn how to improve the results of your ML models by using Machine Learning.

AUG 16 2016

Drag, Drop, Click Machine Learning and Modeling with Ease

by Manuel Amunategui

A walkthrough using BigML's extremely easy interface to model datasets using classification and regression algorithms.

AUG 4 2016

How BigML’s WhizzML Eases Machine Learning Automation

by Jennifer Riggins

With an automated workflow in Machine Learning you are extracting the outside variables of your data and making it more valuable.

APR 26 2015

Machine Learning Made Easy

by Alex Casalboni

As a developer, I greatly appreciate the effort in supporting so many programming languages and platforms, making everyone’s work simpler.

JAN 21 2015

BigML tutorial at '14

by Poul Petersen

Learn about predictive analytics and watch how to solve overfitting with ensembles, evaluate a predictive model, find patterns with clustering, and detect anomalies.

NOV 18 2014

Machine Learning to Predict Low Risk Loans

by Poul Petersen

BigML makes Machine Learning more accessible than ever thanks to its well defined workflows, visualizations, and fully featured API.

AUG 5 2014

Everyone can do Data Science

by Fabien Durand

This post completes a tutorial about data science. This third part explains how to build a predictive model of real estate pricing from the data collected.

APR 7 2014

Develop Your First Decision Tree and Make Predictions

by Jason Brownlee

Find out how to create a source, dataset, a predictive model, evaluate it and make predictions on unseen data using the predictive model.

FEB 22 2014

Making Predictions in Tableau

by David Gerster

Watch this video to learn how to make predictions with Tableau after exporting your BigML models to Tableau platform.

JAN 30 2014

Fast Model Training with BigML

by David Gerster

Discover how to train a predictive model in this timed demo of BigML's amazing speed, using StumbleUpon data from Kaggle.

APR 9 2013

Using BigML to Decide Credit Card Approval

by Chris Shaw

This blog post explains how to find predictive metrics to figure out if the person applying for a credit card should be approved or not.

We are always interested in improving the understanding of BigML's capabilities, and how those can be utilized to solve real life Machine Learning problems. As such, please contact us if you have other informative or instructive content that we can promote here.