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Microsoft Future Ready: Principles of Machine Learning with Python Programming
Cloudswyft via FutureLearn
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Overview
Improve your data insights using machine learning models During this course, youll learn the theory of machine learning before gaining practical experience in building, validating and deploying machine learning models. Youll also delve into Python and Azure Notebooks, two powerful tools to you learn how to build and derive insights. Learn the fundamentals of machine learning and AI theory This course will teach you the concepts and theories which drive AI technology today. Youll learn the core principles of 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
Cloudswyft via FutureLearn
5 hours
$134.00 Certificate Available
English
On-Demand
Intermediate
Instructor
Futurelearn
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