I'm a passionate computer engineering student with a keen interest in Data Science, Machine Learning, and Artificial Intelligence. I find joy in working with data and leveraging technology to create solutions that have a positive impact on the world.
- Currently pursuing a degree in Computer Engineering π
- Fascinated by Data Science, Machine Learning, and AI π€
- Strong background in Python programming π
- Proficient in using libraries like pandas, matplotlib, scikit-learn, and numpy π
- Completed the IBM Data Science Specialization course on Coursera π―
In the IBM Data Science Specialization, I gained valuable knowledge in:
- Applying supervised and unsupervised machine learning models π€
- Implementing regression, classification, and clustering algorithms π
- Analyzing data using Python and its powerful libraries π
I'm constantly curious and eager to expand my data science capabilities. Whether it's exploring new technologies or diving deeper into advanced concepts, I'm up for the challenge.
I'm keen to connect with fellow data enthusiasts and experts. Let's share ideas, collaborate on projects, and explore the exciting world of data together. Connect with me on LinkedIn!
This project leverages the power of machine learning techniques to analyze comprehensive datasets collected from diverse sources. By incorporating relevant features and employing advanced preprocessing techniques, the system ensures the accuracy and reliability of its predictions. Diseases such as Diabetes and heart disease are targeted, aiming to provide early detection and proactive management strategies.