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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

7,973 個評分
1,452 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....




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



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!!


401 - Applied Machine Learning in Python 的 425 個評論(共 1,442 個)

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.

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.