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# vlabs-challenge | ||
Repo to a machine learning project for VLabs Data Challenge. Regression model. | ||
Repo to a machine learning project for VLabs Data Challenge. Based on data from 14 months of purchases, the task is to predict how much each client is going to spent on the next 90 days. | ||
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The dataset was transformed to be treated as a supervised learning regression task, the data split by chanel (Physical Store, IFood, WhatsApp, ECM or Telesales) and one model trained for each chanel with a ElasticNet algorithm. The final prediction is generated by the the sum of the predictions of each chanel for each client. | ||
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[Kaggle Competition Link](https://www.kaggle.com/c/VLabs-DC) |