Machine Learning Assignment
The owner of a chain of over 100 shops in the UK has asked you to build a machine learning model capable of classifying stores as having either good or bad performance based on details about the store. For each store, the company has recorded data on performance (simply ‘good’ or ‘bad’) and details such as the size of the store and the number of staff it employs. You have been provided with a dataset and a data dictionary that describes the data.
Your Task:
Develop logistic regression, decision tree and neural network models that will identify whether stores will perform well or poorly.
You can use Orange, Python, R, or any data mining package of your choice.
You must follow the correct methodology to use the data to build and test your models.
Submit a single page infographic poster showing the results of your analysis. Create the poster using a word processor (like Word) or a presentation package (like PowerPoint).
