Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.
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- 5 stars57.14%
- 4 stars25.39%
- 3 stars7.93%
- 2 stars4.12%
- 1 star5.39%
MACHINE LEARNING FOR DATA ANALYSIS의 최상위 리뷰
There is some problems because of changes both in SAS and Python after creating the course
I enjoyed this course a lot. It's easy and I've learnt what I need to apply the machine learning techniques. Easy and simple. You don't need to be a mathematician.
More Implementation oriented and less math
also contains distracting background videos when explaining important concepts
I would like to have an opportunity to contact my reviews.
Data Analysis and Interpretation 특화 과정 정보
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