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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

8,058 個評分


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....




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



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 1,465 個)

創建者 Henri


Excellent course, but be ready to spend some time on debugging the automatic grader especially for the final assignment!

創建者 Mason L


Excellent course. One suggestion would be to make this a 6-week course due to the large amount of materials it covers.

創建者 Sandeep S


Covered a lot of topics. Helps a beginner to get a good overview of the various tools and concepts on Machine Learning.

創建者 João R W S


Excellent course! Learned a lot both about the concepts and how to apply the methods using scikit-learn. Very good job!



Awesome course really loved it, especially the visualization techniques used to represent machine learning algorithms.

創建者 Nikita


Very good explanations. Need full attention. Quizzes and assignments are really challenging. Good learning experience.

創建者 Dave C


Very enjoyable, informative and I really believe I can go on and build my own ML system with confidence. Recommended.



Great Course. Helped to understand the basics of machine learning, the algorithms and their applications using python.

創建者 Pratyush L


The course gives a good overview of the concepts and a great paced programming assignments to understand the concepts.

創建者 Emanuele P


It gives you the methods and the essential knowledge to build a learning pipeline using Python and SciKit-learn tools.

創建者 Angelika E


Excellent! I learned a lot in this course. Machine learning algorithms were clearly explained and easy to understand.

創建者 Saiapin A


This is a great course for those who want to get acquainted with machine learning basics as well as its applications.

創建者 Sergio A D A


Excellent course, for understand howw work whit dataset and throw the all ways in Machine Learning and Deep Learning

創建者 Bishnu M


I have increased my lots of machine learning skills specially with python language, I have got a very good practice.

創建者 chris l


An excellent course if you are prepared to be patient and do lots of additional research outside the given content.

創建者 akshat g


It was great learning, Though I had knowledge of this but some additional points of knowledge have made me better

創建者 Said G


It was really a good experience. The content is rich and clear and the tools at our disposal are of good quality.

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.