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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
4,240 個評分
738 個審閱

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

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!!

OA

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

篩選依據:

251 - Applied Machine Learning in Python 的 275 個評論(共 720 個)

創建者 Shashi M

Sep 25, 2017

Very good course for a wide spectrum of audience interested in Machine Learning. I just had a basic learning of ML and Python, but the course was structured so well that I could catch-up. Also offers an interesting peak into Neural Networks and Deep learning. Overall, an excellent course with clear and attainable objectives, backed by high quality content and data.

創建者 Sajit K

Jun 26, 2017

Insightful and hands on course

創建者 Zihao H

Mar 06, 2018

Extremely useful courses, and well taught lectures, and reasonable assignments

創建者 Shuyi Y

Jun 28, 2017

This course is great because I received so much training in applying the ML packages and functions python. A lot of hands-on experience!

創建者 Saurav B

Dec 24, 2017

Good Course

創建者 Dan S

Dec 30, 2017

Fantastic Course. I highly recommend it.

創建者 Jeremy L

Sep 24, 2017

Very easy to understand

創建者 Jesus P I

Apr 18, 2018

The most practical course I have completed so far. Also the right amount of theory needed to being able to start resolving your first machine learning problems. 100% recommendable

創建者 Kevin L

Jun 25, 2017

A great introduction to the practical side of machine learning, particularly if you have already taken Andrew Ng's course. It covers a *lot* of material and the pacing is *very* fast. Week 2 is particularly long, and if you are still a student/working it may take an extra week to complete the course. Quizzes and assignments are not terribly difficult, but be careful of the project assignment in Week 4 (though the bar for a 100% is quite low!). Finally, the accompanying Jupyter Notebooks are very helpful and there are many helpful links to outside resources as well.

A few of the lecture videos feel like an early draft rather than production-quality, with lots of time spent on repeating phrases. The instructor mentions things to be covered "later," but that "later" never comes (for example, in discussing Grid Search). For some background, this course appears to have been repeatedly delayed before its release. To me, is understandable that the creators wanted to get this course out given the demand, but the rush is felt.

Ultimately, however, this is still an excellent introduction to Python Machine Learning, and I do feel the course is well worth taking. Just be prepared to do some more individual learning; however, shouldn't one always be for an online class?)

創建者 Fabrice L

Jun 24, 2017

Great course!! And this field of science/technology is fascinating.

The only comment that I would do is that it might have been useful to include a whole pipeline on the creation of a simple machine learning software from the data collection to the end result. I guess that is the goal of the next course on text processing, so I'm looking forward to it.

創建者 Tianyang Z

Jul 06, 2017

great course. Learned a lot

創建者 Marek S

Sep 29, 2017

Useful, practical use of sklearn to machine learning tasks

創建者 Lucas G

Jun 05, 2017

Great course! Really appreciated it, it taught me (and gave me lots of practice) how to use lots of different classifiers for machine learning.

創建者 Praneet N

Jan 09, 2018

i love the course

創建者 Armand L

Apr 24, 2018

Very Good Course ! learned a lot !

創建者 Petko S

Apr 03, 2018

Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!

創建者 shubham

Mar 17, 2018

great

創建者 Cristinel M

Jul 16, 2017

Great value! An excellent complement of Andrew Ng's course on Machine Learning!

創建者 Lorena G

Aug 04, 2017

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

創建者 Iver B

May 02, 2018

An ambitious but systematic overview of a wide range of machine learning techniques using scikit-learn and other Python libraries. Prof. Collins-Thompson is a steady and clear explainer of somewhat complex topics. The exercises and quizzes can be challenging, but are very worthwhile.

Overall, very well done.

創建者 RIAHI L

Oct 19, 2017

very good course, I enjoyed it

創建者 Yi-Yang L

Jul 03, 2017

Nice

創建者 Julian O

Jul 05, 2018

Great overview

創建者 Aviv N

Jul 16, 2017

great course

創建者 Devashish S

Sep 08, 2017

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