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Machine Learning: Theory and Hands-on Practice with Python Specialization
Develop Foundational Machine Learning Skills. Add Supervised, Unsupervised, and Deep Learning techniques to your Data Science toolkit.
Free
This Course Includes
coursera
3.7 (44 reviews )
3 months at 10 hours a week 
english
Online - Self Paced
specialization
University of Colorado Boulder
About Machine Learning: Theory and Hands-on Practice with Python Specialization
Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from University of Colorado Boulder
What You Will Learn?
- Explore several classic Supervised and Unsupervised Learning algorithms and introductory Deep Learning topics. .
- Build and evaluate Machine Learning models utilizing popular Python libraries and compare each algorithm’s strengths and weaknesses..
- Explain which Machine Learning models would be best to apply to a Machine Learning task based on the data’s properties..
- Improve model performance by tuning hyperparameters and applying various techniques such as sampling and regularization..