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Mamma mia recommendations to improve Mamma Mia Pizzeria
An EDA of change in US Stock Data in relation with change in Environment Indicators
How to improve the functionalities of the beloved pizza chain?
Analysis of the Mamma Mia Pizzeria
#datamine #webmining #webscraping #bigdata #advancedfiltering
Build a tool to assess relationship between stock and environment data
Organizing documents based on their content is sometimes tiresome. That is the reason machine learning can help us accelerate this process. Our solution greatly helps alleviate this boring task.
#algorithm#machinelearning#moduleusing#random
Data Mining through Celonis Software Automation to define and improve business process for Pizzeria Mama Mia Company by Armando Morales, Chanasna Man, and Eunsung Cheon.
Business Process Challenge to Improve model
The pizza delivery business is unforgiving at times. Deadlines constantly have to be met in order to satisfy your hungry customers. With a plethora of variables at hand, we sought to solve the issue.
This project was to find common outliers using R in order to see what is Giovanni doing wrong. And see what we can do to fix it! We've used dplyr and GGplot in order to manipulate data and seeing data
Starting a new service business? Use ServeIT to help you make it great!
Webscrape car data from carmax's website to visualize correlations.
Hackathon's Dataset in a Hackathon
The 3 considerations we wanted to gather data for include recent rental prices for current rental listings, established demographics of location from the census, and known healthcare costs.
Interested in web scraping, the team decided to work on a web scraping project aimed at Zillow to learn a new skill!
Our purpose through this project is to analyze the different facets of the pizza delivery process in order to streamline the operation and increase profits as well as customer satisfaction.
An efficient way of finding the rotation and translation of a bolt head in 3d space.
Focus on the development on the process, product types and costumer factors
Using modeling and machine learning, provide the relationship between the environment and the markets from the ZEPL US Stock Market Data and the Knoema Environment data.
With this library, we present to researchers and data scientists a modularized and pipelined methodology of data acquisition, processing, and visualization. Web scraping is made so much easier!
The Mama Mia Pizzeria has been using their authentic pizza recipes, however, their customers are unhappy. Through data analysis, we find the problems engraved within operations and provide solutions.
business recommendations for process improvement
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