IIRF Online > Development > Data Science > Deep Learning > Machine Learning: Theory and Hands-on Practice with Python
Machine Learning: Theory and Hands-on Practice with Python by Coursera
Develop Foundational Machine Learning Skills. Add Supervised, Unsupervised, and Deep Learning techniques to your Data Science toolkit.
Course Highlights
- 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.
Skills you will learn!
Machine Learning: Theory and Hands-on Practice with Python
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