Lead Scoring with Machine Learning Part 1: Feature Selection

Published: 10 August 2020
on channel: Hedy & Hopp
4,396
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In this video, we'll start building a simple lead-scoring app using machine learning in BigQuery ML. We'll do some initial exploration of the data, separate it into training and test datasets and use BigQuery ML's feature selection tools to see which features are the most influential. We'll trim the excess features and get ready for Part 2, where we'll tune the model and make some predictions.

The dataset is available from Kaggle here: https://www.kaggle.com/joniarroba/nos...

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