AI with Python: Apply & Implement ML Models

By the end of this course, learners will be able to analyze datasets, apply machine learning algorithms, evaluate classifiers, and implement deep learning models using Python and its popular frameworks. The course begins with the foundations of AI, covering essential concepts such as Python for AI, bias-variance tradeoff, and model evolution. Learners will then explore data handling, visualization, dimensionality reduction, and classifier evaluation to strengthen practical ML skills. Finally, th

• Analyze datasets and apply key ML algorithms in Python
• Evaluate classifiers and perform dimensionality reduction
• Build deep learning models with TensorFlow, Keras, and PyTorch