| Description
| This course will guide students from fundamental machine learning concepts, gradually learning various machine learning algorithms and implementation techniques, and applying what they have learned to real-world problems. The course content covers supervised learning, unsupervised learning, reinforcement learning, and other areas of machine learning. Students will use Python programming language along with popular machine learning frameworks such as scikit-learn and TensorFlow for hands-on implementation.
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