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

4.6
8,018 個評分
1,463 條評論

課程概述

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....

熱門審閱

OA

2017年9月8日

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

FL

2017年10月13日

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!!

篩選依據:

826 - Applied Machine Learning in Python 的 850 個評論(共 1,454 個)

創建者 Renjith

2020年4月8日

Awesome course, good learning

創建者 Dongsoo J K

2017年7月18日

Very good and straightforward

創建者 Juan A V

2022年4月10日

Great, excellent assigments.

創建者 Araceli Z

2021年8月8日

Great course and challenging

創建者 PRAKHAR K S

2020年6月23日

great experience in learning

創建者 Rana S A

2020年6月8日

Very much Informative Course

創建者 VEDURLA V S N A S

2020年5月17日

very nice course.very useful

創建者 Anurag M

2019年6月9日

Excellent material for study

創建者 John H E

2019年3月16日

I truly enjoyed this course.

創建者 John D L C

2018年12月27日

This is an excellent course.

創建者 Amrith M

2017年7月8日

Yet another Awesome course!!

創建者 UMANG P S

2020年6月17日

Great Exposure of knowlwdge

創建者 Fernandes M R

2020年6月16日

The best course a ever had.

創建者 narra s s

2020年5月10日

Great platform for Learning

創建者 P.Raja S

2020年4月25日

nice and informative course

創建者 Xinzhi Z

2019年6月23日

Great course! Very helpful.

創建者 Tianyang Z

2017年7月6日

great course. Learned a lot

創建者 Kshitij K

2020年9月17日

Very helpful for my career

創建者 Vinit K

2020年5月7日

Great learning experience.

創建者 Ray B

2018年10月28日

Good intro to scikit-learn

創建者 IvorX

2018年10月14日

It is a very great course.

創建者 Tongsu P

2018年2月8日

Really challenging course!

創建者 Souvik D

2020年7月12日

good course for learning.

創建者 Erdem A

2019年7月8日

The course was fantastic.

創建者 Stanley C

2019年5月21日

Excellent. Learned a lot!