Microsoft Future Ready: Principles of Machine Learning with Python Programming
- Offered byFutureLearn
Microsoft Future Ready: Principles of Machine Learning with Python Programming at FutureLearn Overview
Duration | 5 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Microsoft Future Ready: Principles of Machine Learning with Python Programming at FutureLearn Highlights
- Duration 5 weeks
- Weekly study 5 hours
- 100% online Learn at your own pace
Microsoft Future Ready: Principles of Machine Learning with Python Programming at FutureLearn Course details
- This course is part of the Ethics Laws and Implementing an AI Solution on Microsoft Azure ExpertTrack, helping you understand AI ethics and laws while developing advanced AI and machine learning skills.
- During this course, you'll learn the theory of machine learning before gaining practical experience in building, validating and deploying machine learning models.
- You'll also delve into Python and Azure Notebooks, two powerful tools to help you learn how to build and derive insights.
- This course will teach you the concepts and theories which drive AI technology today. You'll learn the core principles of machine learning categories, including supervised and unsupervised learning, regression techniques and how algorithms behave and learn in machines.
- You'll learn how to effectively deploy machine learning models, and understand the gap between IT and data science in putting a model into production. This will further your knowledge in the field and help you understand how this practice sits in the workplace.
- In this course you'll learn the importance of evaluating your data before developing algorithms. You'll explore how to prepare and clean data sets as well as feature engineering techniques.
- Following the theory, you'll get hands-on experience of the ways you can evaluate data using Python and Azure Notebooks.
- By the end of the course, you'll understand the basic machine learning concepts, and gain experience using powerful tools such as Python with state-of-the-art machine learning algorithms. This knowledge will further help you understand the relationship in complex data.
Microsoft Future Ready: Principles of Machine Learning with Python Programming at FutureLearn Curriculum
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
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