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學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

4.6
7,522 個評分
1,372 條評論

課程概述

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....

熱門審閱

AS
2020年11月26日

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

FL
2017年10月13日

Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!

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451 - Applied Machine Learning in Python 的 475 個評論(共 1,355 個)

創建者 Martin H

2017年7月5日

very excellent course, must take if you are welling to deal with data and applying ML al. to it

創建者 miguel c

2019年3月10日

Great collection of applied Data Science concepts, worked examples and challenges using python

創建者 Varga I K

2019年2月25日

Great and Strong fundamentals on machine learning without too much mathematics involved in it.

創建者 harsh J

2021年2月14日

Best Practical Course Ever Found. Learned many new things and applied them to other projects.

創建者 Reginaldo S

2020年4月7日

This course is perfect for those who wants to learning machine learning techniques in Python.

創建者 Arpit S

2019年6月13日

A Great course, the extra offered learning material helped me out to dig deep into the course

創建者 Wix Z

2019年4月27日

I can build a easy machine learning pipeline by myself after learning a lot from this course.

創建者 Abe G V T S

2017年10月8日

Great course! Very recommended! Though the assignments were kinda hard, but they are worth it

創建者 Ardong S

2020年9月6日

highly recommended course for intermediate machine learning practitioner (or also beginner).

創建者 Daniel W

2020年6月11日

Very nice course to better understand Scikit Learn and Python potential for Machine Learning

創建者 Sultan M A A

2019年11月8日

the course was fun and full of information to learn. very well professor. thank you so much.

創建者 Felipe F

2019年8月29日

Excellent applied course! Very intuitive and the instructor is very kind in his explanations

創建者 Devashish S

2017年9月7日

Really hands on course and the perfect way to get to know the domain and learn ML in Python.

創建者 Bernard F

2017年7月31日

Excellent balance of theory and practical work through code samples, quizzes and assignments

創建者 Mengru Z

2021年3月19日

Quite challenging course to get started with machine learning! Interesting and worth a try!

創建者 Ishan D

2020年9月27日

Best course to learn applied machine learning and you'll be able to apply in real life too.

創建者 Gustavo W

2017年6月19日

Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way

創建者 Jun W

2018年8月4日

A very good course. The Jupyter Notebook of this course is very useful and self-contained.

創建者 john w

2020年9月14日

good course. the homework actually aligned with the lesson content. I enjoyed this course

創建者 David G N A

2020年8月21日

Excellent course! I think University of Michigan's courses are the best ones in Coursera.

創建者 Abdoulaye B

2020年5月10日

This course was more challenging for me I was one of the best course so far I have taken.

創建者 Pulkit K

2020年4月25日

The content of the course was up to the standard. Please continue to make such course!!!!

創建者 Konstantinos S

2017年8月15日

Excellent course that really drives you hard to acquire hands on experience on the field.

創建者 Omar M

2020年7月23日

Excellent course no doubt , thanks to the instructor and the team prepared the course ..

創建者 Mike F

2020年7月12日

Good course, includes the fundamental of machine learning and how they applied in Python