Course Description
In this hands-on, case study-based course, students learn to use data analysis, Machine Learning, and Neural networks. More specifically, students learn classification, regression, ensemble methods, clustering, dimension reduction, and how to apply all of these tools and skills to decision making and a successful project.
Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approa Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approa
Meeting 2: Regression
Meeting 3: Ensemble Methods
Meeting 4: Clustering, Dimension Reduction
Meeting 5: Outliers, Introduction to Neural Networks
Meeting 6: Project
You will learn Python as well as machine learning and neural networks. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.
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