This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.
About this Course
- 5 stars76.04%
- 4 stars18.51%
- 3 stars3.20%
- 2 stars0.98%
- 1 star1.23%
TOP REVIEWS FROM MACHINE LEARNING ALGORITHMS: SUPERVISED LEARNING TIP TO TAIL
It's a nice course for those who likes to learn the supervised machine learning algorithms with practical experience.
Great learning..Talked almost all important issues.
The whole specialization is extremely useful for people starting in ML. Highly recommended!
Learn some valuable insights on scikit-learn capabitlity through the labs
About the Machine Learning: Algorithms in the Real World Specialization
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