wmduggan41 / housing_forecast

Integrated web application to explore kaggle "boston housing" dataset

Kaggle | Boston Housing Dataset

---

This project was created to explore the Kaggle dataset House_Prices and to implement machine learning techniques using R.

Task	Status
1 - Target Variables	Complete
2 - ML implementation	Complete
3 - Shiny Web App	Complete

Objective:

• We are not competing with other teams on kaggle
• This project is a playground to practice the knowledge of this class and prepare for the final exam.
• Group project, 1-3 people per team. You can be your own team.
• You can use R or Python
• Build one prediction model using the ML algorithms of this course
• Evaluate your prediction model
• Try different ways to improve your model and show the improvements.
• Submit code and results in Jupyter and HTML formats on canvas

Chosen dataset variables:

	Name	Data Type
01	BldgType	Chr
02	Neighborhood	Chr
03	Lot Area	Int
04	OverallQual	Int
05	OverallCond	Int
06	YearBuilt	Int
07	YearRemodAdd	Int
08	MoSold	Int
09	YrSold	Int
10	SalePrice	Int

• Rows: 1461
• Categorical Variables: 2
• Numerical Variables: 9

The description of the dataset contains the following information: