![php[tek] 2023](https://phptek.tv/storage/conference_logos/WYnuMb5GHwyFV18H3TE2EHTtvRNpw8-metacGhwdGVrLTIwMjMgKDEpLnBuZw==-.png)
![Machine Learning in PHP with RubixML and Laravel](https://phptek.tv/storage/talk_gifs/X6wccGySbiB00y43fXaM0000f6SBzXlJyxscg7UQdI02s44.gif)
Level: Intermediate (some prior knowledge necessary)
Length: Standard Session (45-60 minutes)
Description:
In this talk, I will give an overview of using the RubixML PHP library to build machine learning models and run predictions. I will build an MVP using a dataset, model, and predictions with Rubix and the Laravel framework.
1. Quick Introduction to Machine Learning
2. Examples of Where Machine Learning Is Beneficial.
3. Quick Overview of RubixML and Laravel.
4. Choosing a Classifier/Regressor for Your Model
5. Example: Building a Housing Price Predictor with a Gradient Boosted Machine (GBM) (Open source example from RubixML)
6. Questions/Discussion