Churn Prediction With Machine Learning

<p>A complete work in data science, through exploratory analysis, feature engineering techniques, model selection and model creation of predictive machine learning and hyperparameter tuning.</p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:560/0*y7EwDLtoQ7q9Kt1C" style="height:467px; width:700px" /></p> <p>Photo by&nbsp;<a href="https://unsplash.com/@markuswinkler?utm_source=medium&amp;utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Markus Winkler</a>&nbsp;on&nbsp;<a href="https://unsplash.com/?utm_source=medium&amp;utm_medium=referral" rel="noopener ugc nofollow" target="_blank">Unsplash</a></p> <p><code>Churn rate</code>, also known as customer attrition or customer turnover, is a vital metric for businesses that measures the percentage of&nbsp;<strong>customers who cease their engagement or subscription with a company</strong>&nbsp;over a specific period.</p> <p>We can exemplify with a&nbsp;<code>streaming service company</code>, the churn analysis is done on top of subscribers who canceled the service in a given period analyzed.</p> <p>This period can be varied, in week, month, bimonthly, half-yearly, annual or other options.</p> <p>This metric helps companies gauge the health of their customer base and the effectiveness of their&nbsp;<code>customer retention strategies</code>.</p> <p>Understanding churn rate is&nbsp;<strong>crucial</strong>&nbsp;because it directly impacts a company&rsquo;s revenue and growth potential.</p> <p><a href="https://medium.com/@gabrielnduarte/churn-prediction-with-machine-learning-a2207029662">Website</a></p>