In this tutorial, you are going to learn how to deploy a simple logistic regression model. The model predicts rains based on humidity. It is modeled in Python from scratch. Then, you are going to deploy this model as a C Arduino application on ESP32. Finally, you are going to use sensor data as input to the model and display prediction using web UI that is hosted on the ESP32.
This tutorial teaches you how to build a simple logistic regression model from the scratch. This process is quite useful, rather than you just read a little bit of the theory and then start using libraries. Because you will better understand how the algorithm works. Once you understand the algorithm, it is relatively easy to use any libraries. This tutorial is divided into several parts as follows. So, let’s get started.
- Part 1 – Simple Logistic Regression Model for Predicting Rain
- Part 2 – Simple Logistic Regression in C/C++ (ESP32 Arduino) for Predicting Rain
- Part 3 – Simple Logistic Regression in C/C++ (ESP32 Arduino) with Embedded Web Application
If you benefit from this page, please make a small donation. I suggest $5, but you can choose the amount. We need your help to pay for web hosting and buy new components and equipment for new tutorials. Alternately, you can make a donation by sending me Bitcoin, at address 1JN3zEw8NqCr8bn4UQa3TfZXaz7UZnb5bH