purvi1508 / Doceree-Machine-Learning-Hackathon

The ad server logs contain valuable information such as browser details, IP addresses, geographic locations, search patterns, site urls, and other relevant data. The objective of the hackathon is to build a robust model that can accurately predict whether a user belongs to the HCP category and its specialization id/taxonomy.

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Doceree-Machine-Learning-Hackathon

The ad server logs contain valuable information such as browser details, IP addresses, geographic locations, search patterns, site urls, and other relevant data. The objective of the hackathon is to build a robust model that can accurately predict whether a user belongs to the HCP category and its specialization id/taxonomy.

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The ad server logs contain valuable information such as browser details, IP addresses, geographic locations, search patterns, site urls, and other relevant data. The objective of the hackathon is to build a robust model that can accurately predict whether a user belongs to the HCP category and its specialization id/taxonomy.


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