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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

8,018 個評分
1,463 條評論


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....




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



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!!


451 - Applied Machine Learning in Python 的 475 個評論(共 1,454 個)

創建者 Zachary Q


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

創建者 Muhammad A R


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

創建者 KylinMountain


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


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

創建者 Evan G


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



Very Good Course. I'll highly recommended pre requisites are basic knowledge of python programming.

創建者 David R


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

創建者 Yashar Z


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

創建者 Pere J G F


Straight to the point for someone who's knowledgeable about machine learning but not python scikit

創建者 Yogesh


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

創建者 Shiven D


Videos are very well explained , I learnt allot and feel motivated to learn more advance stuff.

創建者 Remy J


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

創建者 Lorena G


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

創建者 Tonny M M


The course is very informative, i particularly like the way the assignments have been structured

創建者 Kavindu W


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 Some of the functions used in the course are outdated and not working anymore.

創建者 Laby D C


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


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

創建者 Nitin K


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

創建者 Jiangming Y


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

創建者 Ahmed S


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



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

創建者 Yuxin W


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

創建者 Mohamad F I


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

創建者 Ivan R


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

創建者 Dmitry B


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