From the course: Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python
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Challenge: Predict customer lifetime value
From the course: Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python
Challenge: Predict customer lifetime value
(upbeat music) - [Instructor] In this Challenge Lab, we actually use all of the hard work we've done to pre-process the data and perform exploratory data analysis. We are now ready to feed our eda_telecom.csv file into a machine learning model to predict customer lifetime value. To get started, download the Notebook file and upload it to Colab. Then upload the dataset. As a quick tip, you can also open the Notebook directly in Colab from GitHub. Note the red box around the Open in Colab button in the upper right hand corner. First thing is to import the necessary libraries. Then review and run all of the cells until you get to the section titled, Using Data Visualization to Evaluate Model Performance. Here, you get to plot graphs. As a call out, in exercise number four, you use generative AI's ability to generate new content and answer questions by copying and pasting any image into an AI chatbot. Ask the AI…
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