How I Engineered an ML Model to Anticipate Divorce Amongst My Inner Circle
<p>Hey there! I’m excited to talk to you today about a topic that might seem a bit unusual at first: using machine learning to predict divorce.</p>
<p><strong>That’s right, you heard me correctly.</strong></p>
<p>Thanks to the power of artificial intelligence and predictive modeling, we can now use data to make predictions about the future of a marriage.</p>
<h1> Predicting Divorce with Machine Learning </h1>
<p> </p>
<p>Photo by Steven Wilcox on Unsplash</p>
<p>I have access to plenty of data and algorithms that can help us understand what leads to a <strong>successful or unsuccessful marriage.</strong></p>
<p><strong>So let’s dive into the details and see what we can learn.</strong></p>
<h2> How It Works </h2>
<p>The basic idea behind using machine learning to predict divorce is to analyze data about married couples and identify patterns that are associated with either a happy, long-lasting relationship or a relationship that is likely to end in divorce.</p>
<p><strong>This might include factors like:</strong></p>
<ul>
<li><em>Age of the couple</em></li>
<li><em>Education level</em></li>
<li><em>Employment status</em></li>
<li><em>Income</em></li>
<li><em>Number of children</em></li>
<li><em>Length of the relationship</em></li>
<li><em>Frequency of arguments</em></li>
</ul>
<p>By gathering this data and using machine learning algorithms to identify patterns and relationships between different variables, we can develop a predictive model that can give us an indication of the likelihood of a couple getting divorced.</p>
<p><a href="https://blog.devgenius.io/predicting-divorce-with-machine-learning-1c234c65730a">Read More</a></p>