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

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Solution: Building the AI model for energy efficiency

Solution: Building the AI model for energy efficiency

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

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Solution: Building the AI model for energy efficiency

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(bright music) - [Narrator] Let's review the solution to the energy efficiency AI model challenge. I'll walk you through the key steps in developing a successful model based on the world energy consumption dataset. For the first step, we will load the energy data into Google Colab. Here students will upload and access the dataset from their local machine in Google Colab. For the second step, we'll pre-process the data. We'll clean the data by handling any missing values and converting the data types to ensure it's ready for analysis. We will filter for core production, biofuel consumption, year, and country. For step three, we'll perform exploratory data analysis, EDA. This will help you understand the data set by generating basic statistics and visualizing trends over time. We will use the basic describe method to display summary statistics of the dataset. Then we'll plot a line graph to visualize biofuel consumption trends over the years. Step number four. We will analyze data for…

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