| Topic | Description | Tech Stack | Key Concepts |
|---|---|---|---|
| Machine Learning & AI | Learning Machine Learning through CampusX's & Andrew Ng focusing on both theoretical foundations and practical implementation | Python, NumPy, Pandas, Matplotlib, Scikit-learn | Data Preprocessing, Exploratory Data Analysis, Supervised Learning, Model Evaluation, Feature Engineering, Machine Learning Fundamentals, Statistics for ML |
| Category | Tools/Technologies |
|---|---|
| Programming | C, C++, Python, SQL |
| Libararies | Numpy, Pandas, Seaborn, Matplotlib, Tkinter, PIL, Pygame , Pydantic |
| Tools & IDEs | VS Code, PyCharm, Cursor, Git, GITHUB, MY SQL |
| Communities | Discord, Reddit, Twitter, Linkedin |
| Concepts | OOP, Data Structures, Prompt Engineering, Feature Engineering |
| Future Stack(ML) | Computer Vision, Natural Language processing |
