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Loading structured data from an SQLite database, cleaning, and preparing it for training. Applying ML models (e.g., neural networks, regression, classification) using TensorFlow and scikit-learn.

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SQLite-ML-Pipeline

Loading structured data from an SQLite database, cleaning, and preparing it for training. Applying ML models (e.g., neural networks, regression, classification) using TensorFlow and scikit-learn.

Generating insightful graphs and charts with matplotlib to analyze model performance and data trends.

Using Figma to design clear and visually appealing representations of the data analysis.

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Loading structured data from an SQLite database, cleaning, and preparing it for training. Applying ML models (e.g., neural networks, regression, classification) using TensorFlow and scikit-learn.

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