This course deep dives into advanced Python concepts and their application in Machine Learning (ML). You will learn model selection, hyperparameter tuning, model deployment, and specialized libraries like Scikit-learn and TensorFlow.
Clean, process, and prepare complex datasets.
Implement various ML algorithms (regression, classification).
Utilize Scikit-learn, Pandas, and NumPy for analysis.
Evaluate and fine-tune model performance using metrics.