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

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!