Teaching Assistant of Machine Learning with Python.
This course provides an in-depth introduction to machine learning concepts and applications using Python. Topics include supervised and unsupervised learning, data preprocessing, feature engineering, model evaluation, and real-world applications using libraries like NumPy, Pandas, Scikit-Learn, and TensorFlow.
Key Responsibilities:
Assisted in delivering course content, leading review sessions, and clarifying complex ML concepts.
Provided one-on-one support during office hours, helping students debug Python code and optimize
Graded assignments and projects, ensuring alignment with course learning objectives and fair assessment.