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学生对 密歇根大学 提供的 Applied Machine Learning in Python 的评价和反馈

4,264 个评分
741 个审阅


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....



Oct 14, 2017

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!!


Sep 09, 2017

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


176 - Applied Machine Learning in Python 的 200 个评论(共 723 个)

创建者 Birbal

Jul 18, 2017

Excellent learning


Jan 21, 2018

World class course.

Covers a lot of core machine learning subjects in an accessible way with a practical focus in Python.


创建者 Aviv N

Jul 16, 2017

great course

创建者 Maciej W

Jul 08, 2018

Very informative, broad, hands-on course. Strong recommend.

创建者 David V

Jul 28, 2017

Excellent course!

Machine Learning is today a buzzword and you do not really know what it is until you do it. The University of Michigan has put together a great program that takes you from the basics of Python to the latest Machine Learning techniques.

I started without knowing Python, and well, I cannot say that it has always been easy, but I DID IT!

创建者 Ruyang L

Apr 21, 2018

Very interesting course, enjoyed it very much

创建者 Harshit K

Oct 05, 2017

One of the great courses to learn machine learning in Python.

创建者 Dheeraj P

Aug 24, 2017

nice lecture series, Good Approach .

创建者 Devashish S

Sep 08, 2017

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

创建者 Alejandro M

Jan 15, 2018

The Course give you a general view and direct applications in Business and Science.

创建者 Mahendra S C

Nov 23, 2017

great course very useful in data science job.

创建者 Amrith M

Jul 08, 2017

Yet another Awesome course!!

创建者 Michael L

Jun 17, 2017

Excellent high level advance course with in depth explanations. It is well structured. It learn me to applied Machine learning from very basics to optimum level. It help me to understand details of Machine Learning in Python.

创建者 Jay S

Jul 02, 2017

Excellent introduction to Machine Learning! The course focus is on supervised ML. Well taught ! Course is well structured with lots of tips & tricks for model evaluation.

创建者 Tushar T

Nov 06, 2017


创建者 Benjamin S

Oct 27, 2017

I thought this was a very good course in Machine Learning using Python. I took Andrew Ng's Machine Learning course before this one, which I would highly recommend! I enjoyed this course because it taught me about scikit-learn, which I plan to use in my career. I also purchased the recommended textbook "Introduction to Machine Learning with Python" from O'Reilly, which I found to be a very useful reference.


Jul 18, 2017

This is good course gives in depth information.

创建者 Uday B

Sep 14, 2017

good course for beginners

创建者 bishnu m

May 27, 2018

I have increased my lots of machine learning skills specially with python language, I have got a very good practice.

创建者 Adolfo E

Oct 07, 2017

Excellent course!

创建者 Marc B

Jun 30, 2017

I learnt a lot about machine learning - great assignments as well

创建者 Danish R

Jul 02, 2017

P.S.: This is not an easy course to complete

创建者 Yashar Z Z

Aug 29, 2017

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

创建者 Valeriya P

Jul 25, 2017

multi selection questions in quizzes are a bit hard to handle, i think there should be more hands-on experience included. Loved notebooks when one answer lead to the next one.

创建者 Qian H

Jul 05, 2017

Nice course with an good level. I really leant a lot from this course!