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Foundations of Data Science: K-Means Clustering in Python
伦敦大学课程信息
You will need mathematical and statistical knowledge and skills at least at high-school level.
您将学到的内容有
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
您将获得的技能
- K-Means Clustering
- Machine Learning
- Programming in Python
You will need mathematical and statistical knowledge and skills at least at high-school level.
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伦敦大学
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授课大纲 - 您将从这门课程中学到什么
Week 1: Foundations of Data Science: K-Means Clustering in Python
This week we will introduce you to the course and to the team who will be guiding you through the course over the next 5 weeks. The aim of this week's material is to gently introduce you to Data Science through some real-world examples of where Data Science is used, and also by highlighting some of the main concepts involved.
Week 2: Means and Deviations in Mathematics and Python
Week 3: Moving from One to Two Dimensional Data
Week 4: Introducing Pandas and Using K-Means to Analyse Data
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- 5 stars73.39%
- 4 stars21.18%
- 3 stars3.44%
- 2 stars1.23%
- 1 star0.73%
来自FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON的热门评论
Very informative course. You can learn how to cluster and clisfy data and how to write down report on the given statistical analysis.
I liked it, very usefull and objective guide to implemt the algorithm, I also liked the format, many short videos wich is great to keep concentration
It is a very detailed and well planned course. However, there could have been a few lectures at the end on training set, testing set etc.
Very interesting course! The lecturers explain concepts thoroughly which makes the concepts easy to understand even for people without much knowledge in Data Science
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