Sunny Priyan
Work on projects like recommendation systems or image classifiers to apply your AI knowledge to real-world problems.
Master machine learning algorithms by understanding supervised and unsupervised learning, regression, classification, clustering, and reinforcement learning techniques.
Get hands-on with data by practicing cleaning, preprocessing, and exploration using powerful tools like Pandas and NumPy.
Know the essential AI libraries like TensorFlow, Keras, PyTorch, and Scikit-learn to efficiently build and deploy machine learning models..
Choose Python as your programming language, as it’s user-friendly and packed with powerful AI libraries like TensorFlow and PyTorch.
Understanding AI basics involves learning machine learning, neural networks, and data processing to build intelligent systems.