🖥 Linear Regression with Tensor Flow

Introduction | Data sources | Technologies | Status | Acknowledge | License

Using Tensor flow for creating regression models.

Introduction

This project aimed to apply tensorflow and neural networks in regression problems.

Data Sources

Three dataset were used:

1. Insurance dataset [Link] : It provides data of the insurance value based on the features age, sex, bmi, smoker?, children?, and region
2. Generated dataset: Data generated from a normal distribuition
3. Boston pricing dataset [Link]: Data with the house prices in Boston

Technologies

Status

Complete!! 🎉🎉🎉

Inspiration and acknowlegde

These exercices are based on the course Zero to Mastery Deep Learning with TensorFlow by the legend Daniel Bourke