The goal of the regression notebook is to help Adventure works predict customer average monthly spend given the customer info, bike buyer and available average month spend data. This is a regression problem and we will explore various ML Regressors. We shall first perform needed data clean up and visualization, tuning, data balance and analysis. The goal of the classification notebook is to help adventure works predict if a customer wil buy a bike or not given customer information, average month spend and available bike buyer data. This could help adventure works target their marketing and improve their returns.
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This repo contains data from aventure works. There are two .ipynb files, one for classification (predicting if a customer will buy a bike or not) and the other for regression, to predict the average monthly spend given the features and labels.
NiiJoshua/regression-classification_aventure
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This repo contains data from aventure works. There are two .ipynb files, one for classification (predicting if a customer will buy a bike or not) and the other for regression, to predict the average monthly spend given the features and labels.
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