Frequently Asked Questions (FAQs)
You'll learn about supervised and unsupervised learning, regression, classification, model evaluation, and libraries like scikit-learn, TensorFlow, and PyTorch.
Yes, you’ll work on hands-on projects like spam detection, stock prediction, customer segmentation, and image classification.
Some courses cover model deployment using Flask, FastAPI, or cloud services like AWS and Heroku.
Machine Learning is a subset of AI where algorithms learn patterns from data and make predictions or decisions without being explicitly programmed.
Typically, it takes 4–8 weeks of part-time learning depending on the course depth and your pace.
Some courses offer certificates from the platform or instructor, while others are for learning purposes only.
Yes, they cover foundational concepts, making them suitable for beginners with basic knowledge of Python and math.
Basic programming knowledge, especially in Python, is recommended to follow along with coding examples and exercises.