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MarioSolisB/Profile_of_a_bank_coustomer

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  1. The directory "data" contains two files:

    • 'dataset_banco.csv' : Brute dataset with some non-senses values or errors.
    • 'dataset_banco_cleanned.csv': Cleanned dataset.
  2. Two jupyter notebook:

    • 'Cleanning_data.ipynb' : The file where I developed the cleanning process.
    • 'EDA.ipynb' : In this file, I made some Exploratory Data Analysis (Independent, Uni-variate and bi-variate analysis).

About this project

In this project, I used the public dataset that it is available in the youtube channel of Codificando bits (see in the description box of the video). The focus of this project is to describe or recognize the coustomer’s profile of a bank. However, at first, I cleanned the dataset in order to implement the Exploratory Data Analysis (EDA) as a second and final step.

Brief resume of Cleanning process

Brief resume of Exploratory Data Analysis

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