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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

7,863 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.


401 - Applied Machine Learning in Python 的 425 個評論(共 1,415 個)

創建者 Dindayal H P


The overall course structure was very good. Also the instructor was good at his knowledge and explaination skill.

創建者 Pooja C


Helped me understand the fundamental concepts and practice them with assignemens. I highly recommend this course.

創建者 Janesh D


It was a great course. This course covered a lot of material and Professor explained every concepts very clearly.

創建者 Deepak G


A very nice course to get involved with the data from good resources and with great insights to draw from those.

創建者 Yuwei Y


I like this course very much. It focuses on ML application and it's easy to understand. Definitely recommend it!

創建者 Vasilis S


Great course! Assignment 4 is very interesting and allows you to apply all you've learnt in this course at once.

創建者 Ryan J


Incredibly insightful and helpful for a recent master's graduate looking to augment his skills on the job market

創建者 Matthias B


Great course, very hands-on. Maybe difficult to follow without any prior knowledge in machine learning, though.

創建者 Diego C


Very good introduction, a lot of information but you feel you are learning the foundations of machine learning.

創建者 Andrii T


Excellent course. I'm particularly thankful to the instructor, who was warm-hearted and explained well enough.

創建者 Siddhant T


A​mazing ocurse focussing on handon application of machine learning alorithms and tools for model evaluation.

創建者 Liu L


This course provides a good introduction to using python in machine learning. It helps me to get hands on it.

創建者 Mikhail S


Thank you for the very well done course! It's really helpful, has a clear explanation of topics and examples.

創建者 Ahmad A


Excellent Course each topic is both theoretically as well as as practically explained. Really a good course

創建者 Akshay S T


Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module

創建者 Nitin K


Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.

創建者 Mohamed A M A


The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.



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

創建者 Thomas S


A very good review of important fundamental concepts in Machine Learning focusing on the usage of Sklearn.

創建者 Rahul S


This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.

創建者 Christian E


Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.

創建者 Lari L


The course gives deep knowledge on the subject as well as best practices and strong practice assignments.

創建者 abdelrahman a


the most interesting thing in the course was treating the students as if they are already data scientists

創建者 Anurag W


This Course really provides great learning on Advance Machine learning techniques with Python application

創建者 Matt E


Learned a lot in this course! Much better than the previous two and also taught by a different professor.