Chevron Left
返回到 Applied Machine Learning in Python

學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

7,589 個評分
1,387 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....



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!!


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.


501 - Applied Machine Learning in Python 的 525 個評論(共 1,370 個)

創建者 Rodrigo G M


Very well presented. The content is on the correct depth, and very much practical.

創建者 Muhammad M M


it's very good explanation about how we use Machine Learning in real-life problem.

創建者 BRAD O


This is a great introductory course to Machine learning and I enjoyed it very much

創建者 Antonios P D


Nice introductory course to Machine Learning, with focus on applying it in Python.

創建者 Gifari Z


Very nice introduction of ML using python. Comprehensive and practical materials.

創建者 Millennium G


Great course! Professor is also very good as he took real life examples to teach.



Awesome course!! should definitely take this to learn Machine Learning in advance

創建者 George d V C N


Great course, a lot of practice with some theory. It's a great resource to start.

創建者 Tom M


Wow, great course, so much material covered. Will save this one for later review.

創建者 Romel C B


Me gusto muchísimo, los temas, la dinámica para el aprendizaje y el trabajo final

創建者 Juan S C G


S​o far, the hardest course of this especialization. However, quite interesting.

創建者 Gregory B


Excellent to review all basics and more complex ML Model explanation in deeper .

創建者 Mohd A A


By the end of this course, you can apply your knowledge in different hackathons.

創建者 Chengying L


The course is fun, but changing the assignment directory each time is tricky...

創建者 Darius T


Great course for learning how to apply Machine Learning algorithms with Python.

創建者 Srinivas B


Its almost great, just short of 5 star rating! Liked the hands-on examples more

創建者 Cristinel M


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

創建者 Nevcihan t


It was really effcient couse about ML. It cover nearly all parts of ML models.

創建者 Sam J


Very straightforward and to-the-point course! Good intro to machine learning!!

創建者 Ben S


Great class. Final project was a little unclear, but forums were a great help.

創建者 Zihao H


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

創建者 Ana C R


Very practical view, while still containing a lot of good theoretical content.

創建者 Gerasimos V


A course not in depth analysing the facts but give some very useful intuition

創建者 Adolfo G S


Excellent course, you must to take it and work by yourself in the Assignments

創建者 Niklas v G


The course was pretty good at teaching the fundamentals of Machine Learning.