Welcome to my personal GitHub repository! This space serves as a collection of my projects, experiments, and contributions in various fields, with a strong focus on data science, machine learning, and technology.
I am a Machine Learning Enthusiast passionate about solving complex problems and uncovering insights from data. My work combines creativity, adaptability, and technical proficiency to build impactful solutions. I specialize in developing and deploying machine learning models and have expertise in multiple programming languages.
This repository showcases my:
- Machine Learning Projects: End-to-end projects tackling real-world challenges.
- Competitions: Solutions and approaches from hackathons and datathons.
- Learning Resources: Notebooks and scripts exploring new concepts and techniques.
- Collaborations: Contributions to open-source or team projects.
This project aims to predict the stock market of Netflix based on various factors like Open, High, Close, Low, and Volume.
- Analyzed factors such as High, Open, Low, Close, and Volume.
- Utilized ML models like Linear Regression and Decision Trees.
- Visualized key trends using Python libraries like Matplotlib and Seaborn.
- Python: For data analysis, machine learning, and AI development.
- C++: For performance-critical applications and algorithm development.
- JavaScript/JSON: For API integrations.
- Email: [email protected]
- LinkedIn:
- GitHub: My GitHub Profile
- Kaggle:
- YouTube:
- Discord:
