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Overview of machine learning models and their applications in real-world scenarios.

Types of Machine Learning Models: Explained with Examples

Explore the three main types of machine learning models—supervised, unsupervised, and reinforcement learning—with clear explanations and practical examples in TensorFlow.js.

Splitting datasets into training, validation, and test sets for effective machine learning workflows.

Why Split a Dataset into Training, Validation, and Test Sets?

Learn the purpose of dividing datasets into training, validation, and test sets, and see practical examples of how to implement this in TensorFlow.js for better machine learning models.

Choosing the correct model architecture for machine learning tasks.

Selecting an Appropriate Model Architecture for a Given Problem

Learn the step-by-step process of selecting the right model architecture for your machine learning problem. Understand key considerations like data type, task complexity, and TensorFlow.js examples.


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Candle.st

Candle.st

This is a remote project for a client who hired me to be part-time Frontend Developer. I work on converting Figma to Nuxt and Tailwind CSS.

Mercura.io

Mercura.io

This was an Astro.js project from a client on Fiverr who wanted a Figma design converted to Astro.js and made SEO-friendly.

Eternal Creations

Eternal Creations

This is the Next.js project from a client on Fiverr who wanted to convert a Figma design to HTML, Tailwind CSS, and Next.js.