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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
7,023 個評分
1,278 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

OA
2017年9月8日

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses

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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401 - Applied Machine Learning in Python 的 425 個評論(共 1,256 個)

創建者 Francesco S

2018年3月20日

Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.

創建者 Oumeyma F R

2019年12月23日

What I loved about this course is the consistency of its content and the quality of its presentation.

創建者 Zachary Q

2019年8月19日

Was a great class where I learned to apply existing knowledge about ML to the actual background info!

創建者 Muhammad A R

2018年9月24日

Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.

創建者 KylinMountain

2018年6月7日

It's very impressive.

I suggest If we add a kaggle competition as a overall summery, that'll be great.

創建者 Megan J

2018年12月31日

In depth understanding is required to complete the assignments. Challenging without being demanding.

創建者 Evan G

2018年7月23日

Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.

創建者 David R

2020年7月21日

Nice survey of machine learning techniques and tutorial on the scikit-learn toolbox. Very helpful.

創建者 Yashar Z

2017年8月29日

This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.

創建者 Yogesh

2020年4月20日

Course is really good. It is good to learning. But needs to add little more mathematical concepts.

創建者 Remy J

2020年12月4日

Fantastic course. Contains a wealth of information and provides challenging problems and quizzes.

創建者 Lorena G

2017年8月4日

Still some hard for me both the quiz and assignment, however it is interesting and worth studying

創建者 Kavindu W

2020年11月14日

Excellent course. Some of the functions used in the course are outdated and not working anymore.

創建者 Laby D C

2020年10月1日

Ce cours vraiment et m'a été d'une très puissant outil d'aide dans ma formation en Data Science

創建者 Dr. R R K

2020年5月3日

Week 2 assignment is hard to solve. My appeal is to review the questions again and make it easy.

創建者 Nitin K

2019年3月10日

Well structured course that gave a good insight on applying Machine learning to real life cases.

創建者 Jiangming Y

2018年3月4日

This is an excellent course, from which I have learnt a lot about machine learning with Python.

創建者 Ahmed S

2020年10月29日

excellent course for reviewing machine learning algorithms and difference between each of them.

創建者 Muhammed J

2020年7月16日

The instructor for this course was really good compared to the previous ones. I learnt a lot...

創建者 Yuxin W

2019年8月29日

Excellent course, with very clear lectures and useful exercises. Final project was interesting.

創建者 Mohamad F I

2018年6月24日

A good course focusing on basics of machine learning. Great for beginner with python knowledge.

創建者 Ivan R

2017年8月5日

Great course that covers the key aspects of machine learning in a manner that is easy to follow

創建者 Dmitry B

2017年7月22日

This course is the fast lane to hands-on experience with machine learning tools and algorythms!

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