Motivation:

If a company wants to become successful and exponential growth then the company has a good feedback loop system.     -Elon Musk
so I was trying to build this feedback form with important factors and predication for food delivery companies.

Project information

  • Category : Customer Churn Prediction (food order)
  • Project URL : Web Apps
  • Aim : Based on Customer Feedback predict next time customer food order give us or not (end-to-end ml project).
  • Language : Python,HTML,CSS.
  • ML Algorithm : Random Forest
  • Accuracy : 0.88(+/- 0.04)
  • Platform : Heroku(Flask)
  • GitHub : Customer Chrun

Description

In this Project using the dataset of swiggy food delivery(Banglore) build a Machine learning model that predict next time customer order give us not, Wait...How it is possible?

  • Step 1: Clean Our Data
  • Step 2: Do Visualization and Find Out some meaningful pattern
  • Step 3: Using Statistical Method Select Features e.g chi-2,correaltion pearson
  • Step 4: Based On Selected Feature Build Machine Learning Model
  • Step 5: Validate Our Model
  • Step 6: Build UI By Using Flask
  • Step 7: Deploy Web Application On Heroku

    • If You are interested to see some extra work then visit Jupyter Notebook link is Here