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.
Über diesen Kurs
- 5 stars76,05 %
- 4 stars18,45 %
- 3 stars3,24 %
- 2 stars0,99 %
- 1 star1,24 %
Top-Bewertungen von MACHINE LEARNING ALGORITHMS: SUPERVISED LEARNING TIP TO TAIL
really good, wish it had covered random forest and decision trees and other supervised models as well.
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 explanation of the topics are easy to understand due to the dynamics of theory, practical exercises and quizzes.
Über den Spezialisierung Machine Learning: Algorithms in the Real World
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.
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