I am Mariam Ayman, an AI Engineer at the beginning of my journey.
I started by learning Python and data analysis libraries, then moved on to Scikit-learn to build simple machine learning models.
- Python Programming: foundation for coding and data analysis.
- Data Analysis Libraries:
- NumPy: numerical computations and arrays.
- Pandas: data cleaning and manipulation.
- Matplotlib & Seaborn: data visualization and plotting.
- Machine Learning:
- Scikit-learn: building models such as classification and regression.
- Applying small projects using Scikit-learn.
- Exploring datasets and experimenting with different algorithms.
- Understanding the machine learning pipeline (data cleaning β model training β evaluation).
- Deep learning with TensorFlow or PyTorch.
- Natural Language Processing (NLP) projects.
- Participating in Kaggle competitions to apply skills in real-world scenarios.
- Email: mariamatman46@gmail.com
- LinkedIn: [link]