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Pizza trend analysis

The problem is to identify the trends of various Pizza Restaurants and their products orders across geographies and analyzing the contents of different pizza's for different nutrients present in them.

Methods Used

1. Association Pattern Mining

Finding interesting association rules between sales of different pizzas.

2. Classification

It is done between two classes i.e. Veg and Non-Veg based on the nutrients present in them.

3. Regression

Estimating calories by nutrients present in a particular pizza.

Step to Reproduce

1. Interactive Plots (Dashboard)

Installation

  1. pip install dash
  2. pip install plotly

Execution

  1. python Pizza_trends.py
  2. Open browser and type url "localhost:4253"

Script Running

Open Python jupyter-notebook in pizza-trend-anlaysis directory

1. For Classification

a. Nutrition_Analysis_Classification.ipynb

2. For Regression

a. Nutrition_Analysis_Regression.ipynb

3. Association Rules

a. Pizza.ipynb

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