Using Logistic Regression to predict if a car sale is going to go bad.
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Updated
Oct 23, 2020
Using Logistic Regression to predict if a car sale is going to go bad.
For this group project, we took a look into which characteristics in vehicles drive sales in Norway. We then performed an ETL (extract, transform, load) on the data.
This JAVA application reports how much your product will be sold in each month of the next two years, using 4 different forecasting methods according to the monthly sales data of the products you have entered in the last two years.
This web application halps the user to understand the trends and analysis of Automotive Industry in form of Visualization and demonstrate how the Automotive Industry could harness data to take informed decisions.
ETL process for a Car Sales project.
A UMBC group project from CMSC 436 - Data Visualization
Online Vehicle Sales and Purchase System Using .NET Core
Exploring ebay car sales dataset
nestjs+prisma+mysql+vue2+tailwindcss+element 汽车销售管理系统
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