Chevron Left
返回到 Applied Machine Learning in Python

學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

4,794 個評分
834 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....



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


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!!


301 - Applied Machine Learning in Python 的 325 個評論(共 817 個)

創建者 Benjamin S

Jul 12, 2018

Great class. Final project was a little unclear, but forums were a great help.

創建者 Zihao H

Mar 06, 2018

Extremely useful courses, and well taught lectures, and reasonable assignments

創建者 Ana C R

Aug 31, 2017

Very practical view, while still containing a lot of good theoretical content.

創建者 Adolfo G S

Jan 30, 2019

Excellent course, you must to take it and work by yourself in the Assignments

創建者 Nathan R

Oct 17, 2017

Excellent course. A practical application of the concepts in Python/sklean.

創建者 陈熠

Aug 13, 2017

Very good machine learning course working on python with little mathematics.

創建者 Maxwell S d C

Apr 09, 2019

One of the best courses ever! Plenty of things to learn, to evolve. Superb!

創建者 Phat N

Feb 02, 2019

Very good introductory course to approach scikit_learn!! Highly Recommend!!

創建者 Bruce M

Mar 03, 2020

Excellent course. I learned a lot and enjoyed the challenging


創建者 Mohammad S

Jul 29, 2019

really helpful course that acts like a great refresher before interviews.

創建者 Cyril S

Jul 26, 2018

Incredible MOOC ! Very interesting if you want to start machine learning.

創建者 Anirudh S

Mar 14, 2018

Fantastically explained. with jupyter notebooks! appreciate your effort.

創建者 Ahmad H S

Jul 26, 2019

It is Comprehensive course and give great baseline to enter this domain

創建者 Val A B

Nov 20, 2018

This is a very good way to start machine learning if you're a beginner.

創建者 Holger P

Oct 07, 2017

Great course covering Python's Machine Learning library scikit-learn.

創建者 陈明

Sep 29, 2017

This is really a very practical course, and inspiring me to learn more

創建者 Qian H

Jul 05, 2017

Nice course with an good level. I really leant a lot from this course!

創建者 Purna C K

Feb 21, 2019

It's a superb course well organised with good and real time examples.

創建者 Weinan H

Jan 21, 2019

A very systematic introduction to most used machine learning models.

創建者 Γεώργιος Κ

Jan 11, 2018

A must to to have lesson for Data Science using Pandas and Matplotlib

創建者 mugnaio

Sep 29, 2017

As all course in this specialization, this is very interesting course

創建者 Oscar J O R

Jul 01, 2017

Amazing module. Clear explanations and useful examples and exercises.

創建者 Bina S

Oct 08, 2019

Learned Machine learning enough to know what it is and how it works.

創建者 Mauritz v d W

Sep 24, 2017

One of the best applied machine learning courses I have come across.

創建者 Sooraj S

Mar 31, 2019

Good introduction to Machine Learning and implementation in Python.