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https://github.com/jimohola/zomato-restaurant-ratings-ml

Flask Deployment Machine Learning
https://github.com/jimohola/zomato-restaurant-ratings-ml

css data-analysis flask html machine-learning python3

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Flask Deployment Machine Learning

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# FLASK Deployment of Zomato Restaurant Ratings

![Web app image](https://github.com/jimohola/Zomato-Restaurant-Ratings--ML/assets/62597513/124eb767-092e-4a6f-ab8d-515c973eec02)

## Hi, I'm Fatai Jimoh! 👋

## 🚀 About Me
I'm a Data Scientist

## 🔗 Links
[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/jimohola)
[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/fatai-olarinde-jimoh-5677a4128)

# **ABSTRACT**

Zomato is one of the best online food delivery apps which gives the users the ratings and the reviews on restaurants all over india. These ratings and the Reviews are considered as one of the most important deciding factors which determine how good a restaurant is.

**Main Objective:**

- Perform extensive **Exploratory Data Analysis(EDA)** on the Zomato Dataset.

- Build an appropriate **Machine Learning Model** that will help various Zomato Restaurants to predict their respective Ratings based on certain features

- **DEPLOY** the Machine learning model via **Flask** that was used to make live predictions of restaurants ratings