From the course: Leveraging AI and Data Engineering for Sustainable Solutions

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Hands-on: Setting up your first AI model in Google Colab

Hands-on: Setting up your first AI model in Google Colab

From the course: Leveraging AI and Data Engineering for Sustainable Solutions

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Hands-on: Setting up your first AI model in Google Colab

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- [Instructor] Now that we've covered the basics, it's time to get hands-on experience and set up your first AI model in Google Colab. I'll guide you through each step from importing libraries to training the model. This practical exercise will help you integrate theoretical knowledge with real world applications. For the first step, we will upload and load the energy dataset into Google Colab. In this example, we're using a straightforward dataset, but the principles you learn here can be applied to more complex datasets in the future. I'll walk you through the steps to pre-process your data, which includes cleaning and transforming it into a more suitable format for your model. Pre-processing is a critical step. It involves handling missing values, normalizing the data, and converting variables into numerical formats. Proper pre-processing can significantly improve the accuracy of your AI model. With the data pre-processed, we'll move on to building the AI model. We'll start with a…

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