Job Description
Key Responsibilities:
● Deliver live interactive sessions on:
○ Python (beginner → advanced)
○ Machine Learning fundamentals
● Cover essential ML libraries:
○ NumPy, Pandas
○ Matplotlib / Seaborn
○ Scikit-learn
● Teach Machine Learning concepts, including:
○ Supervised vs Unsupervised Learning
○ Regression (Linear, Logistic)
○ Classification algorithms
○ Clustering techniques
● Explain concepts with:
○ Real-world examples
○ Practical datasets
○ Hands-on coding sessions
● Guide students in building end-to-end ML projects, including:
○ Data cleaning & preprocessing
○ Model building
○ Evaluation & improvement
● Focus on intuition behind algorithms, not just library usage
● Handle student doubts and ensure high engagement