Languages & CS Fundamentals:
Python β’ Java β’ Data Structures & Algorithms
Machine Learning & Data:
NumPy β’ Pandas β’ Scikit-Learn β’ Machine Learning Algorithms β’ Data Preprocessing β’ SQL
Additional Skills:
Matplotlib β’ Seaborn β’ Jupyter Notebook β’ Git & GitHub β’ HTML/CSS/JS
Highlighting consistency, discipline, and technical growth
- πΉ ML-Learning β daily ML learning with notebooks, code, and notes
- πΉ Placement-DSA β DSA practice for placements with structured progress
- Machine Learning
- Data Structures & Algorithms
- ML/AI internships
- Beginner-friendly open-source contributions
- Collabs on ML/Data-driven projects

