BigML Tutorials

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

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

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

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.

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

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

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

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

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

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

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.

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

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.