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In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
What you will learn
- After completing this course, you will be familiar with the following concepts and techniques:
- Data exploration, preparation and cleaning
- Supervised machine learning techniques
- Unsupervised machine learning techniques
- Model performance improvement
- Introduction to Machine Learning
- Exploring Data
- Data Preparation and Cleaning
- Getting Started with Supervised Learning
- Improving Model Performance
- Machine Learning Algorithms
- Unsupervised Learning
Note: This syllabus is preliminary and subject to change.