The Nuts and Bolts of Machine Learning
Master essential machine learning concepts and techniques using Python. Learn supervised and unsupervised learning methods for data analysis.
Master essential machine learning concepts and techniques using Python. Learn supervised and unsupervised learning methods for data analysis.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Google Advanced Data Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Build and evaluate supervised and unsupervised learning models
Implement feature engineering techniques using Python
Construct and optimize various ML algorithms
Evaluate model performance and tune parameters
Apply ethical considerations in machine learning
Develop practical ML solutions for business problems
Skills you'll gain
This course includes:
4 Hours PreRecorded video
22 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course teaches fundamental machine learning concepts and their practical implementation using Python. Students learn both supervised and unsupervised learning techniques, including Naive Bayes, decision trees, random forests, and K-means clustering. The curriculum covers feature engineering, model evaluation, and parameter tuning. Through hands-on projects, learners develop skills in building and optimizing machine learning models for real-world applications.
The different types of machine learning
Module 1 · 4 Hours to complete
Workflow for building complex models
Module 2 · 6 Hours to complete
Unsupervised learning techniques
Module 3 · 4 Hours to complete
Tree-based modeling
Module 4 · 11 Hours to complete
Course 6 end-of-course project
Module 5 · 9 Hours to complete
Fee Structure
Instructor
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