Sales Prediction with Linear Regression

This project focuses on predicting the quantity of products purchased by customers using a Linear Regression model. It utilizes historical sales data and various features such as customer information, product details, and other relevant factors to make predictions.

Installation

To install the required dependencies for this project, follow these steps:

1. Clone the repository:

git clone https://github.com/nicochiavenato/datah.git

2. Install the dependencies using pip:

pip install -r requirements.txt

Usage

Run the script to launch streamlit, train the Linear Regression model and make the predictions:

streamlit run .\streamlit_app.py