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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
7,975 個評分
1,452 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

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!!

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.

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376 - Applied Machine Learning in Python 的 400 個評論(共 1,442 個)

創建者 Manoj K K M

2018年6月30日

For applied machine learning, outstanding. It could be improved with bit more theory, which gives more insight to the concept.

創建者 Shrish T

2017年8月20日

Very good course, for people who want to apply Machine Learning without worrying too much about the theoretical aspects of it.

創建者 Raga

2017年6月9日

Very well designed courses! There are many materials to go in depth even if you have done Python Machine Learning in the past.

創建者 Roger A

2019年6月3日

Excellent course! It teaches you the basics of Machine Leaning, and merges the knowledge already acquired in the first module

創建者 Stephen S

2019年5月3日

Had all the basics of Machine Learning algorithms, but they need to update the syllabus with some trending boosting concepts

創建者 Ivan Y

2018年10月24日

Great! loved the final project, which is a machine learning project that you can actually put on your resume and talk about!

創建者 Muhammad S

2020年4月1日

I am very satisfied with this course. I learnt a lot of techniques from the course that I can apply in my research project.

創建者 Hrishikesh B

2019年3月14日

very good course for intermediate level learners .learned a lot in such a short time.thanks to prof.Kevyn Collins-Thompson.

創建者 Duy B

2018年10月29日

It is a great course with best practices. Thank you for your time and consideration. I learnt many things from your course.

創建者 Mkhitar T

2020年8月13日

If anyone wants to gain practical skills in Machine Learning with Python, this course for them. Thank you for this course.

創建者 Martin U

2019年1月11日

Tough class, learned not to give up and keep trying. Even went back and redid some quizzes in order to get a better grade.

創建者 Boyan Z

2019年12月16日

A very useful course that gives very good overview for the applied side of machine learning for solving various problems.

創建者 TEJASWI S

2019年8月1日

Concepts were clearly taught and helped me gain knowledge in techniques used in machine learning. Recommend it to others.

創建者 SIMRAN S

2020年9月6日

An apt course who want to become Data scientist beautiful Basics of Machine Learning which is one of major topics in it.

創建者 Oguzhan O

2020年7月17日

First assingment is kinda off the track with the topic mentioned in first week. overall very good and structured course.

創建者 Henri

2019年3月23日

Excellent course, but be ready to spend some time on debugging the automatic grader especially for the final assignment!

創建者 Mason L

2022年1月7日

Excellent course. One suggestion would be to make this a 6-week course due to the large amount of materials it covers.

創建者 Sandeep S

2017年8月3日

Covered a lot of topics. Helps a beginner to get a good overview of the various tools and concepts on Machine Learning.

創建者 João R W S

2017年7月4日

Excellent course! Learned a lot both about the concepts and how to apply the methods using scikit-learn. Very good job!

創建者 JAYESH R S

2020年6月27日

Awesome course really loved it, especially the visualization techniques used to represent machine learning algorithms.

創建者 Nikita

2020年6月13日

Very good explanations. Need full attention. Quizzes and assignments are really challenging. Good learning experience.

創建者 Dave C

2019年10月25日

Very enjoyable, informative and I really believe I can go on and build my own ML system with confidence. Recommended.

創建者 SUDHAKAR M S

2019年10月16日

Great Course. Helped to understand the basics of machine learning, the algorithms and their applications using python.

創建者 Pratyush L

2018年9月28日

The course gives a good overview of the concepts and a great paced programming assignments to understand the concepts.

創建者 Emanuele P

2017年10月25日

It gives you the methods and the essential knowledge to build a learning pipeline using Python and SciKit-learn tools.