Teaching Assistant

Teaching Assistant for the post-graduate course "Machine Learning and Content Analytics", focusing on practical applications of ML and data science.

Responsibilities

• Teaching Python fundamentals (Python 101, Numpy 101, Pandas 101, Scikit-Learn 101)
• Covering text pre-processing and Bag of words approach
• Teaching embeddings (Gensim, word2vec, Glove, FastText, ELMO)
• Instructing on image pre-processing & data augmentation techniques
• Teaching Keras (FFNs, CNNs, RNNs, Attention Mechanisms, LLMs)
• Covering various ML tasks - Classification, Regression, Encoders
• Teaching model deployment using FastApi, Docker

Key Achievements

• Consistently received positive student feedback
• Developed comprehensive course materials
• Successfully prepared students for practical ML applications

Technologies Used