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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

4,775 個評分
830 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....



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!!


276 - Applied Machine Learning in Python 的 300 個評論(共 813 個)

創建者 Bernard F

Jul 31, 2017

Excellent balance of theory and practical work through code samples, quizzes and assignments

創建者 Gustavo W

Jun 19, 2017

Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way

創建者 Jun W

Aug 04, 2018

A very good course. The Jupyter Notebook of this course is very useful and self-contained.

創建者 Konstantinos S

Aug 15, 2017

Excellent course that really drives you hard to acquire hands on experience on the field.

創建者 Sergej G

Aug 17, 2019

An amazing course, the only downside is lack of in depth unsupervised learning material.

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 Tiberiu T

Feb 01, 2020

A comprehensive review of the most important concepts and methods in machine learning.

創建者 Daniel R

Dec 12, 2018

Wonderful program, great teacher. Learned a lot and have used a bit in the real world!

創建者 Santiago D D

Sep 05, 2018

Excellent topic and presenter! I learned a lot about Machine Learning from this class.

創建者 Dr S K

Jan 08, 2019

Good course. Lots of material, and direction what to study. I have really enjoyed it.

創建者 Yunhong H

Mar 23, 2019

I learned a lot from this course. I gained confidence after I finished this course.

創建者 Alejandro M

Jan 15, 2018

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


Jan 20, 2020

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

創建者 BRAD O

Aug 28, 2019

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

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 Tom M

Jan 23, 2019

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

創建者 Romel C B

Dec 19, 2018

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

創建者 Mohd A A

Aug 28, 2019

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

創建者 Darius T

Feb 19, 2019

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

創建者 Srinivas B

Mar 25, 2018

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

創建者 Cristinel M

Jul 16, 2017

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

創建者 Sam J

Jul 19, 2019

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

創建者 Benjamin S

Jul 12, 2018

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

創建者 Zihao H

Mar 06, 2018

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

創建者 Ana C R

Aug 31, 2017

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