FLASK: End-To-End Restaurant (Zomato) Predictions With Deployment

In this Data Science Project, we will be building an end-to-end data science project to predict the various Ratings of Restaurants connected with Zomato.

Zomato is an Indian restaurant aggregator and food delivery start-up founded by Deepinder Goyal and Pankaj Chaddah in 2008. Zomato provides information, menus and user-reviews of restaurants as well as food delivery options from partner restaurants in select cities.

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We will be learning very crucial concepts in this tutorial which very important for you to understand the practical implementation of the various concepts that we have learned so far in the machine learning class, right from linear regression…Linear regression
Logistic regression
Naive Bayes classifiers
Multiple regression
K-NN classification
Support vector machines

• K-means clustering
• High-dimensional clustering
• Hierarchical clustering
• Dimension Reduction (Principal Component Analysis)

You can learn these concepts here if you are not yet familiar with them

Alright,

Now as I said, we will be building an end-to-end project meaning, we will start right from getting our dataset ready till deployment.

These steps are listed below:

1. Get out dataset
2. Prepare our dataset
3. Exploratory Data Analysis (EDA)
4. Model Building using different algorithms
5. Choosing our IDE for deployment purpose
6. Getting our Flask ready for Deployment
7. Creating the necessary folders
8. Final Deployment

We will be going through step-by-step and explain each step and code for your understanding.

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Before we start, please note that this tutorial is part of the The Full Stack Data Scientist Bootcamp, which is a practical hands-on data science tutorial for anyone to learn data science right from the basics to advance by building projects and great Data Science Portfolio. Feel free to check it out.

In order for you to make the best out of this tutorial, I have put this tutorial in the form of a video for a better understanding

Watch and practice along

Watch the ENTIRE Restuarant prediction with Deployment here

All Files can be found at the Github repo here

PLEASE WAIT A SECOND FOR THE VIDEOS BELOW TO LOAD.

DEMO

PART 1

PART 2

PART 3

PART 4

PART 5

PART 6

PART 7

PART 8

All The Best

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GOOD LUCK

If you are interested in learning Data Science, the right way, I advise you to start with The Full Stack Data Scientist Bootcamp.

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