Binary Classification in Power BI | Customer Churn Prediction with Machine Learning

Описание: 🚀 In this video, we build our first Machine Learning model in Power BI using a Binary Classification approach.

We start by preparing a dataset for Customer Churn Prediction, uploading the data to SharePoint, and creating a Power BI Dataflow to clean and preprocess the data. Then we connect the dataflow to Power BI Desktop and perform Exploratory Data Analysis (EDA) using different visualizations.

📊 Through charts and visual insights, we analyze customer data such as age, income category, services opted, and frequent flyer status to better understand the dataset before training the machine learning model.

Understanding your data before training a model is a crucial step in any machine learning workflow, and in this tutorial you will see how Power BI makes this process simple and visual.

By the end of this video, you will be ready to train a Binary Classification model to predict customer churn using Power BI.

📌 In this video you will learn

📊 How to prepare ML data using Power BI Dataflows
🔗 Connecting SharePoint data to Power BI
📈 Performing Exploratory Data Analysis (EDA)
🤖 Understanding Binary Classification models
📉 Visualizing data patterns before model training

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