Dataset is for Trivalley bike store where they wanted the Data Science team to help to predict the customer monthly spend, and whether a customer will be buying a bike or not.
Note that this has two objectives and we need to build two different models – one regression model to predict the AveMonthSpend and the second is a classification model to predict the BikeBuyerFlag.
Please feel free to use Tableau & Sweetviz for Exploratory Data Analysis, and Python for building the ML models. I’m attaching a sample end to end HR deck PPT template (note that Azure was used for ML modeling and you can replace those slides with Python Pycaret/H2O results)
Attached to the mail is an helpful power point (Minnesota School Analysis), AZURE cheat chit and the Dataset for Trivalley bike store.
Please , as you write the python code used to analyze the data sets, copy and paste all the codes in a word document, then attach the word documents along with your analysis. I will attach an example of what i am talking about (DS ML Sesion 3 in pdf format) for one of the analysis i did few months ago.
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