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
Student Name
Part of These Certificates
Meeting 1: Classification
Meeting 2: Regression
Meeting 3: Ensemble Methods
Meeting 4: Clustering, Dimension Reduction
Meeting 5: Outliers, Introduction to Neural Networks
Meeting 6: Project
Meeting 2: Regression
Meeting 3: Ensemble Methods
Meeting 4: Clustering, Dimension Reduction
Meeting 5: Outliers, Introduction to Neural Networks
Meeting 6: Project
Learner Outcomes
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.
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.
PYT520 or equivalent experience.
Night
$2,69500
Night
$2,69500
Related Courses
Earning a SLU certificate allows you to enhance your career options by networking with peers and establishing valuable industry contacts.
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