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Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning
Cloudswyft via FutureLearn
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Overview
This course, part of the Advanced and Applied AI on Microsoft Azure Expert Track, helps learners develop AI and machine learning skills using Python programming. It covers the theories of machine learning and provides practical experience by building, validating, and deploying machine learning models. Learners will use Python programming and Azure Notebooks to enhance their understanding of machine learning principles. The course prepares learners for relevant Microsoft Microcredentials and is suitable for those looking to advance their AI and machine...
Syllabus
- Introduction to Course and Machine Learning
- Course Introduction
- Introduction to Machine Learning
- Exploratory Data Analysis for Regression
- Visualisation for High Dimensions
- Wrapping Up the Week
- Data Exploration & Preparation
- Exploratory Data Analysis for Classification
- Data Cleaning
- Data Preparation
- Data Preparation and Cleaning using Python
- Feature Engineering
- Weekly Wrap-Up
- Regression & Classification
- Regression
- Putting Regression Concepts Into Practice
- Classification
- RoC Curves
- Putting Classification Concepts Into Practice
- Weekly Wrap-Up
- Principles & Techniques of Model Improvement
- Principles of Model Improvement
- Techniques for Improving Models
- Cross Validation
- Dimensionality Reduction
- Introduction to Decision Trees
- Ensemble Methods: Boosting
- Weekly Wrap-Up
- Machine Learning Algorithms & Unsupervised Learning
- Ensemble Methods: Descent & Decision Forests
- Advanced Machine Learning Algorithm: Neural Networks
- Advanced Machine Learning Algorithm: SVMs
- Advanced Machine Learning Algorithm: Naive Bayes Models
- Unsupervised Machine Learning
- Unsupervised Machine Learning Labs
- Wrapping up the Course
Instructor
Futurelearn
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