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Njeme Analytica

Njeme Analytica

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Artificial Intelligence

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Project Description

Customer churn occurs when a customer stops doing business with a company. Such users may stop using a company’s product or service for a number of reasons, such as it being is too expensive, dissatisfied with the offering, or poor customer service.

More often than not, customers who churn from one company will start doing business with their competitor.

The act of churning isn’t one that happens suddenly. If you experience low network bandwidth, you are likely to tolerate it for a month or two. During this period, you would probably contact customer support, check your network speed, and leave a review on social media expressing your dissatisfaction.

Important Facts

We built a customer churn prediction model in Python using the random forests algorithm by following these steps

  • Prerequisites for Building a Churn Prediction Model
  • Reviewing the Dataset
  • Exploratory Data Analysis for Customer Churn Prediction
  • Preprocessing Data for Customer Churn
  • Building the Customer Churn Prediction Model
  • Customer Churn Prediction Model Evaluation
  • Deployment

Leveraging technology to respond to business challenges

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