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I use machine learning with Python, leveraging Scikit-learn and TensorFlow to develop and optimize models for data analysis and predictive tasks. Scikit-learn helps in handling classic ML algorithms like regression, classification, and clustering, while TensorFlow is used for deep learning and neural networks, allowing me to tackle complex problems

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delosreyesjohnpaul/My-Portfolio-Website

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This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

About

I use machine learning with Python, leveraging Scikit-learn and TensorFlow to develop and optimize models for data analysis and predictive tasks. Scikit-learn helps in handling classic ML algorithms like regression, classification, and clustering, while TensorFlow is used for deep learning and neural networks, allowing me to tackle complex problems

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