Restaurant-Revenue-Prediction

This repository contains a Machine Learning project about Restaurant revenue prediction, made by four 4th year Software engineering students made using python - jupyter notebook.

The predictions were made using 6 popular Machine Learning.

Table of Contents

1. Environment Setup

   • Importing Libraries
   • Loading the Data

2. Initial Assessment

   • Overview
   • Descriptive Statistics

3. Data Processing

   • Basic Cleanup
   • Missing Values
   • Outlier Detection

4. Feature Engineering

   • Working with Date and Time Variables
   • Handling Outliers - Feature Scaling
   • Categorical Encoding

5. Correlation Analysis

6. Models

   • Linear Regression
   • KNN
   • Random Forest
   • SVM
   • Decision Tree
   • Clustering (Extra)

7. Model Evaluation

   • Model Comparison
   • Model Evaluation

8. Conclusion