Drive your career forward

What you will learn

• Gain hands-on experience with the latest practical skills and knowledge used by machine learning professionals.
• Apply exploratory data analysis techniques to identify patterns, trends, and anomalies in datasets that inform machine learning model development.
• Train neural networks for supervised learning and build regression and classification models.
• Differentiate between supervised and unsupervised learning by examining how unlabeled data is used to identify hidden patterns or clusters.
• Develop reinforcement learning strategies and deep neural networks to solve complex decision-making and pattern-recognition problems.
• Explore and evaluate different machine learning algorithms by building recommender systems in Python.