In this Project we use data from a large bank and our main goal is to produce insights for the bank through the data analysis.
Under Data-Analysis/ we store the notebooks in which we perform the following tasks:
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Firstly, we make some data exploration through data visualization.
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Then, we clean the data and perform the adequate feauture engineering.
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Following, we build a machine learning model in order to predict the subscription plan of a user.
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Next, we group users based on their most descriptive characteristics.
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Finally, we define enganged vs unengaged users and make a churn prediction.