Machine learning for beginners, a Free curriculum from Microsoft

Microsoft is offering a free 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library

Machine learning for beginners

Overview

Each lesson includes:

  • Optional sketch note

  • Optional supplemental video

  • Video walkthrough (some lessons only)

  • Pre-lecture warmup quiz

  • Written lesson

  • For project-based lessons, step-by-step guides on how to build the project

  • Knowledge checks

  • A challenge

  • Supplemental reading

  • Assignment

  • Post-lecture quiz

Lessons

Lesson Number Topic Lesson Grouping Learning Objectives Linked Lesson Author
01 Introduction to machine learning Introduction Learn the basic concepts behind machine learning Lesson Muhammad
02 The History of machine learning Introduction Learn the history underlying this field Lesson Jen and Amy
03 Fairness and machine learning Introduction What are the important philosophical issues around fairness that students should consider when building and applying ML models? Lesson Tomomi
04 Techniques for machine learning Introduction What techniques do ML researchers use to build ML models? Lesson Chris and Jen
05 Introduction to regression Regression Get started with Python and Scikit-learn for regression models PythonR JenEric Wanjau
06 North American pumpkin prices 🎃 Regression Visualize and clean data in preparation for ML PythonR JenEric Wanjau
07 North American pumpkin prices 🎃 Regression Build linear and polynomial regression models PythonR Jen and DmitryEric Wanjau
08 North American pumpkin prices 🎃 Regression Build a logistic regression model PythonR JenEric Wanjau
09 A Web App 🔌 Web App Build a web app to use your trained model Python Jen
10 Introduction to classification Classification Clean, prep, and visualize your data; introduction to classification PythonR Jen and CassieEric Wanjau
11 Delicious Asian and Indian cuisines 🍜 Classification Introduction to classifiers PythonR Jen and CassieEric Wanjau
12 Delicious Asian and Indian cuisines 🍜 Classification More classifiers PythonR Jen and CassieEric Wanjau
13 Delicious Asian and Indian cuisines 🍜 Classification Build a recommender web app using your model Python Jen
14 Introduction to clustering Clustering Clean, prep, and visualize your data; Introduction to clustering PythonR JenEric Wanjau
15 Exploring Nigerian Musical Tastes 🎧 Clustering Explore the K-Means clustering method PythonR JenEric Wanjau
16 Introduction to natural language processing ☕️ Natural language processing Learn the basics about NLP by building a simple bot Python Stephen
17 Common NLP Tasks ☕️ Natural language processing Deepen your NLP knowledge by understanding common tasks required when dealing with language structures Python Stephen
18 Translation and sentiment analysis ♥️ Natural language processing Translation and sentiment analysis with Jane Austen Python Stephen
19 Romantic hotels of Europe ♥️ Natural language processing Sentiment analysis with hotel reviews 1 Python Stephen
20 Romantic hotels of Europe ♥️ Natural language processing Sentiment analysis with hotel reviews 2 Python Stephen
21 Introduction to time series forecasting Time series Introduction to time series forecasting Python Francesca
22 ⚡️ World Power Usage ⚡️ - time series forecasting with ARIMA Time series Time series forecasting with ARIMA Python Francesca
23 ⚡️ World Power Usage ⚡️ - time series forecasting with SVR Time series Time series forecasting with Support Vector Regressor Python Anirban
24 Introduction to reinforcement learning Reinforcement learning Introduction to reinforcement learning with Q-Learning Python Dmitry
25 Help Peter avoid the wolf! 🐺 Reinforcement learning Reinforcement learning Gym Python Dmitry
Postscript Real-World ML scenarios and applications ML in the Wild Interesting and revealing real-world applications of classical ML Lesson Team
Postscript Model Debugging in ML using RAI dashboard ML in the Wild Model Debugging in Machine Learning using Responsible AI dashboard components Lesson Ruth Yakubu

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Download machine learning for beginners full curriculum

Conclusion

This is an excellent free curriculum for beginners who want to learn machine learning. Head over to the official repo, explore further, and become a machine learning expert!