Description
This course introduces machine learning, presenting an overview of key algorithms and their applications. It covers supervised, unsupervised, and reinforcement learning, explaining how to apply these methods to real-world problems. The curriculum includes practical exercises, enhancing understanding of data collection, preparation, and model evaluation.
