With a strong background in full stack development, my heart belongs to the front-end. Crafting seamless user experiences that leave a lasting impact is my forte. I'm on a mission to bridge my love for AI with my coding skills, aiming to make innovative contributions in the field.
Whether I'm coding with a team or working independently, I'm dedicated to excellence. Let's connect and explore the exciting possibilities in the tech space together! 🌟 #CodeWithPassion
- Prompt Engineering
- Machine Learning
- Data Science
- How to finesse the backend using Express and React
- ML and AI projects
- React/Next projects
- index.tsx
Code sample: React Transfer List using TypeScript
- wrapper_methods.ipynb
Project: Feature Engineering Wrapper Methods / Codecademy ML AI Engineering Career Path
- tennis_ace_challenge.py
Create a linear regression model that predicts the outcome for a tennis player based on their playing habits. By analyzing and modeling the Association of Tennis Professionals (ATP) data, you will determine what it takes to be one of the best tennis players in the world.
- ProductDefects.ipynb
Exercise in probability distribution from Codecademy Machine Learning and AI Foundations course
- Codecademy_NBA_Trends_Project.ipynb
Analyze National Basketball Association (NBA) data to look at associations between teams, win-rates, playoff appearances, and more.
- This is Jeopardy.ipynb
Data analyzation project from Codecademy ML/AI Foundations course
