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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

4,226 個評分
734 個審閱


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....



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


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!!


126 - Applied Machine Learning in Python 的 150 個評論(共 718 個)

創建者 Nilesh I

Oct 05, 2018

Practical, I liked the evaluation part

創建者 Prince K

Oct 05, 2018

good course for beginner

創建者 Taha R

Oct 05, 2018

Great class. Thank you!

創建者 Navid A E

Oct 16, 2018

Absolutely the best professor ever!

創建者 Dibyendu C

Oct 17, 2018

Well structured and quality lectures and assignments

創建者 Jay N

Oct 18, 2018

very very excellent, got to learn whole lot of machine learning models and approaches. i'm straight away going for kaggle competitions after this.

創建者 Jimut B P

Oct 08, 2018


創建者 Ayon B

Oct 19, 2018

Good course. And challenging indeed, especially the quizzes.

創建者 Bart T C

Oct 10, 2018

This course is excellent. It contains a great deal of instruction each week (1-2 hours), and it also has many supplemental references for people who want to go deeper. The quizzes are actually very challenging, and require study of the material. The assignments were easier for me than the other courses in this specialization, but they were focused on application of the material to real world problem, which is the purpose of the course. The final assignment is very instructive and challenging. The instructor is very knowledgeable, and teaches in a thorough, but easy to follow, manner.

創建者 elsa y

Oct 09, 2018

really recommend!very helpful to my study of machine learning. the material is classical

創建者 张超

Oct 10, 2018


創建者 Juan M C T

Oct 23, 2018

Great course

創建者 Ray B

Oct 29, 2018

Good intro to scikit-learn

創建者 li m

Oct 29, 2018

very practical

創建者 Bui T D

Oct 30, 2018

It is a great course with best practices. Thank you for your time and consideration. I learnt many things from your course.


Nov 05, 2018

Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.

創建者 Ivan Y

Oct 24, 2018

Great! loved the final project, which is a machine learning project that you can actually put on your resume and talk about!

創建者 Priscila L

Nov 10, 2018

nice teacher, interesting course

創建者 xuhp

Nov 13, 2018


創建者 Steffen H

Nov 13, 2018

Liked the course! At times a bit challenging but the discussion forums are helpful. Gave me a good overview of the topic, but I feel I have just scratched the surface!

創建者 Val A B

Nov 20, 2018

This is a very good way to start machine learning if you're a beginner.

創建者 Patrick K

Nov 22, 2018

Very nicely explained. Highly recommend.

創建者 Anthony K

Jul 05, 2017

So far the course is relevant and very approachable.

創建者 Antonios P D

Nov 29, 2017

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

創建者 Giorgio C

Aug 25, 2017

The course is well structured and covers all the most important topics. The programming assignment could be a bit more stimulating. Overall I'd recommend this course to everyone who's interested in ML.