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Machine Learning for Beginners

Key Takeaways

Course NameMachine Learning for Beginners – A Curriculum
PlatformAzure Cloud Advocates at Microsoft / GitHub
PriceFREE
Duration12 weeks
LevelBeginner
PrerequisitesBasic programming knowledge in Python or R
SkillsClassic Machine Learning, Data Visualization, Regression, Classification, Clustering, Natural Language Processing, Time Series Forecasting

About

Dive into the fascinating world of machine learning with this unique curriculum that takes you on a cultural journey across the globe. Designed by Azure Cloud Advocates at Microsoft, this 12-week, project-based course covers classic machine learning techniques using Scikit-learn, steering clear of deep learning complexities. It’s tailored for beginners and employs a pedagogy focused on building and quizzes to reinforce learning. The curriculum not only teaches machine learning concepts but also applies them to diverse datasets from various world cultures, enhancing both your technical skills and cultural knowledge.

WHO is Teaching?

The curriculum is brought to you by a team of authors and Azure Cloud Advocates at Microsoft, including Jen Looper, Stephen Howell, and Francesca Lazzeri, among others, with special contributions from Microsoft Student Ambassadors.

WHAT is Covered?

The course covers a broad range of machine learning topics including regression, classification, clustering, and natural language processing. Each lesson is a mixture of theory and practical projects, starting from the basics and gradually moving to more complex applications.

SKILLS to be Developed

  • Understanding of classic machine learning concepts and techniques
  • Proficiency in Python and Scikit-learn for machine learning
  • Ability to visualize and preprocess data for machine learning
  • Experience in building and applying regression, classification, and clustering models
  • Fundamentals of natural language processing and time series forecasting

LEVEL

This curriculum is designed for beginners. It starts with foundational concepts, making it suitable for those with basic programming skills in Python or R but new to machine learning.

Ready to embark on a global learning adventure that bridges machine learning with world cultures? Fork the entire curriculum repository to your GitHub account, dive into the lessons at your own pace, and build your way through exciting projects. This journey not only equips you with essential machine learning skills but also enriches your understanding of global data diversity. Begin your machine learning voyage today and unlock a world of opportunities!

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