From the course: Programming Foundations: Artificial Intelligence

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Build your first machine learning model

Build your first machine learning model

From the course: Programming Foundations: Artificial Intelligence

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Build your first machine learning model

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- [Instructor] For this course, let's create a simple machine learning model to predict whether a customer will churn or leave based on a few key features. By analyzing the relationship between the features and the target variable, the model can identify customers likely to churn, enabling businesses to take proactive measures to retain them. Let's start with reviewing the features. You can find the customer_churn.csv file in the GitHub repo. Let's start by looking at the features or the columns. Monthly spend is the amount of money the customer spends each month. It is a continuous numerical variable that ranges from approximately $10 to $90. Next is contract length. This is the length of the customer's contract in months. It is a discreet numerical variable that ranges from one to 24 months. Next up is support calls. This is the number of support calls the customer made in the last month. It is a discreet numerical variable that ranges from zero to nine calls. Next is the target…

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