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Data Mining course 1st/2 Assignment focused in extracting data and information for customer sentiment and metrics. Initially, data are pre-processed as described in the code comments. One-Hot-Encoding and Clustering implementations included.

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customer_analysis

Data Mining course 1st/2 Assignment focused in extracting data and information for customer sentiment and metrics. Initially, data are pre-processed as described in the code comments. One-Hot-Encoding and Clustering implementations included.

files

  1. marketing_campaign.csv contains customer data to be processed
  2. Assignment 1.pdf contains the objectives of the exercise (Spring Semester 2023)
  3. github_customer_analysis.ipynb contains the Python code implementing the objectives

how to execute

.csv file is to be uploaded to your Google Drive following the path customization of the given code. Then, you can run the code shells of the .ipynb file and see the logic and the results of the implementation.

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Data Mining course 1st/2 Assignment focused in extracting data and information for customer sentiment and metrics. Initially, data are pre-processed as described in the code comments. One-Hot-Encoding and Clustering implementations included.

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