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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

4,353 個評分
754 個審閱


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....



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!!


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


101 - Applied Machine Learning in Python 的 125 個評論(共 738 個)

創建者 Sudhir T

Aug 01, 2018

nice course and easy to understand

創建者 Xiaoyue Z

Jul 30, 2018

A very helpful and confidence-building class!

創建者 Rafael A A S

Jul 30, 2018

Extraordinary course. Contents were very useful for the learning process. This is a good start for diving into this amazing world of machine learning.

創建者 Yusuf E

Jul 31, 2018

Excellent overview of many ML algorithms. Challenging quizzes and assignments. The only downside is that some functions like fit_transform, decision_function, predict_proba could have been explained a little better. Great coverage though.

創建者 Walt M

Jul 29, 2018

Good class. The asignements made me a better engineer.

創建者 Miguel Á B P

Jul 28, 2018

What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.

創建者 David H

Aug 04, 2018

Helped me to get the solid concept of Machine Learning. Since this course is mainly focused on the ways to use the machine learning skills in the real world problems, if you are interested in the mathematical approach of each skill, you might need to look into the other courses.

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 Jiang H

Aug 05, 2018

Nice course!

創建者 Seyed A T

Aug 07, 2018

Very useful course to start working with different ML techniques.

創建者 Vasilis S

Aug 12, 2018

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

創建者 Hema R

Jul 20, 2018

Great course!!

創建者 Ammar A M

Sep 02, 2018

One of the best ML courses on the platform. I highly recommend it to all data-science enthusiasts. It would be nice to have pandas data-wrangling skills before tackling the final project as it is a must. Totally enjoyed the final project! was a great learning experience seeing my classifier AUC going from 57 all the way to more than 76 and the impact of feature importance and cleaning on the model performance was eye-opener!

創建者 Anthony D

Sep 06, 2018

Essential curse!

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 Sunny K L W

Sep 08, 2018

Great Course with high practicality. Need more lectures on how to process categorical data. Read the Forum if you encounter any question!

創建者 timetraveller

Sep 07, 2018

nice shiz

創建者 Vishesh G

Sep 08, 2018

This was an amazing course that I absolutely loved working on. It gave a deep insight into machine learning. I gained a lot of knowledge from this course. A must for the students who are just stepping in the field of Machine Learning.

創建者 Mohit K

Sep 09, 2018

Wonderful Course.

創建者 Mai N

Sep 08, 2018

Good starting points for any machine learning folks

創建者 Bart T C

Oct 10, 2018

This course is excellent. It contains a great deal of instruction each week (1-2 hours), and it also has many supplemental references for people who want to go deeper. The quizzes are actually very challenging, and require study of the material. The assignments were easier for me than the other courses in this specialization, but they were focused on application of the material to real world problem, which is the purpose of the course. The final assignment is very instructive and challenging. The instructor is very knowledgeable, and teaches in a thorough, but easy to follow, manner.

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 张超

Oct 10, 2018


創建者 Tsuyoshi N

Oct 13, 2018

Excellent course. I liked the projects in this course to recap the theories that I learned in the lecture and examine the new knowledge that I learned by myself with reading python library documents online.

創建者 IvorX

Oct 15, 2018

It is a very great course.