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luciegaba / data-mining-project

This project is articulated over 2 parts: PCA Clustering Analysis and Regression

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kmeans-clusteringpcaregression

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About the Project

The following project is realized as part of the Data Mining course given by the MoSEF Master at the University of Paris 1 Panthéon-Sorbonne. The main goal is to apply our knowledge in ML and Feature Engineering. For this purpose, the project is articulated over 2 parts: PCA Clustering Analysis and Regression (predict electricity per sector).

Getting datasets

Datasets are from open data sources such as INSEE. You can find them at the following addresses:

Installing the project

In order to execute notebook without problems, you may put datasets in the data folder. You may also use pip install -r requirements.txt

Contact

About

This project is articulated over 2 parts: PCA Clustering Analysis and Regression

kmeans-clusteringpcaregression

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