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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

7,860 個評分
1,430 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.


476 - Applied Machine Learning in Python 的 500 個評論(共 1,415 個)

創建者 Junqing Z


Really useful course. Love the talking pace of the instructor Prof. Kevyn Collins-Thompson!

創建者 Mengru Z


Quite challenging course to get started with machine learning! Interesting and worth a try!

創建者 Ishan D


Best course to learn applied machine learning and you'll be able to apply in real life too.

創建者 Gustavo W


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

創建者 Jun W


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

創建者 john w


good course. the homework actually aligned with the lesson content. I enjoyed this course

創建者 David G N A


Excellent course! I think University of Michigan's courses are the best ones in Coursera.

創建者 Abdoulaye B


This course was more challenging for me I was one of the best course so far I have taken.

創建者 Pulkit K


The content of the course was up to the standard. Please continue to make such course!!!!

創建者 Konstantinos S


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

創建者 Omar M


Excellent course no doubt , thanks to the instructor and the team prepared the course ..

創建者 Mike F


Good course, includes the fundamental of machine learning and how they applied in Python

創建者 Tarun P S


Be prepared for a lot of grinding but by the end, you'll be pretty good at the material.

創建者 Jiefei W


Assignments provided good examples on how to select, fit and optimize a model in Python.

創建者 Sergej G


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

創建者 elsa y


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

創建者 Shubham S M


Very Nice Platform to learn any course really worthy for student to gain some knowledge

創建者 Anders W


Well structured course with challenging exercises that greatly supported the learning.

創建者 Michael I


Good connect between the course content, lectures and the assignments. Relvant content.

創建者 Vydumkin P


Good ratio of new knowledge and experience vs mathematical and programming difficulty.

創建者 Tiberiu T


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

創建者 Daniel R


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

創建者 Santiago D D


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

創建者 Somdev B


This course is great for someone who wishes to explore the vista of machine learning!

創建者 Dr S K


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