Building Your First AI Project from Scratch in HTML
Introduction
In this tutorial, we will guide you through the process of creating your very first AI project from scratch using HTML. We’ll be focusing on the core aspects of AI, such as data collection, preprocessing, and simple machine learning algorithms. Since our goal is to avoid CSS styles, we’ll keep the HTML as minimal as possible.
Data Collection
The first step in any AI project is data collection. For this example, let’s assume that we are building a simple AI to predict the weather based on temperature and humidity. You can find such data online in various formats, such as CSV or JSON.
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WeatherData.json: [ {"Temperature": 23, "Humidity": 80, "Weather": "Rain"}, {"Temperature": 30, "Humidity": 60, "Weather": "Sunny"}, ]
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Data Preprocessing
Once you have the data, the next step is to preprocess it. This involves cleaning the data, handling missing values, and normalizing the data to a standard range.
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Data Cleaning
Handling Missing Values
Normalization
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Creating the AI Model
Now, let’s build a simple AI model using a decision tree algorithm.
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Decision Tree Algorithm
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Training the Model
After creating the model, we need to train it using our preprocessed data.
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Training the Model
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Testing the Model
Finally, let’s test our model with some new data to see how well it performs.
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Testing the Model
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Conclusion
Congratulations! You have successfully built your first AI project from scratch using HTML. This is just the beginning, and there’s much more to explore in the world of AI. Keep learning, experimenting, and pushing the boundaries of what’s possible. Happy coding!