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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

4.6
4,794 個評分
834 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

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

FL

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!!

篩選依據:

251 - Applied Machine Learning in Python 的 275 個評論(共 816 個)

創建者 Mile D

Oct 17, 2017

After this course you will be able to do your own analysis using machine learning which is really great.

創建者 Shashwenth.M

Dec 19, 2019

Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.

創建者 Min L

Feb 06, 2019

A very good course to start journey on data science. Good combination of reading, lecture and practice.

創建者 Francesco S

Mar 20, 2018

Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.

創建者 Oumeyma F R

Dec 23, 2019

What I loved about this course is the consistency of its content and the quality of its presentation.

創建者 Zachary Q

Aug 19, 2019

Was a great class where I learned to apply existing knowledge about ML to the actual background info!

創建者 Muhammad A R

Sep 24, 2018

Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.

創建者 KylinMountain

Jun 08, 2018

It's very impressive.

I suggest If we add a kaggle competition as a overall summery, that'll be great.

創建者 Megan J

Dec 31, 2018

In depth understanding is required to complete the assignments. Challenging without being demanding.

創建者 Evan G

Jul 24, 2018

Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.

創建者 Yashar Z Z

Aug 29, 2017

This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.

創建者 Lorena G

Aug 04, 2017

Still some hard for me both the quiz and assignment, however it is interesting and worth studying

創建者 Nitin K

Mar 11, 2019

Well structured course that gave a good insight on applying Machine learning to real life cases.

創建者 Jiangming Y

Mar 04, 2018

This is an excellent course, from which I have learnt a lot about machine learning with Python.

創建者 Yuxin W

Aug 30, 2019

Excellent course, with very clear lectures and useful exercises. Final project was interesting.

創建者 Mohamad F I

Jun 25, 2018

A good course focusing on basics of machine learning. Great for beginner with python knowledge.

創建者 Ivan R

Aug 06, 2017

Great course that covers the key aspects of machine learning in a manner that is easy to follow

創建者 Dmitry B

Jul 22, 2017

This course is the fast lane to hands-on experience with machine learning tools and algorythms!

創建者 Martin H

Jul 06, 2017

very excellent course, must take if you are welling to deal with data and applying ML al. to it

創建者 miguel c

Mar 10, 2019

Great collection of applied Data Science concepts, worked examples and challenges using python

創建者 Varga I K

Feb 25, 2019

Great and Strong fundamentals on machine learning without too much mathematics involved in it.

創建者 Arpit S

Jun 13, 2019

A Great course, the extra offered learning material helped me out to dig deep into the course

創建者 Wixee Z

Apr 28, 2019

I can build a easy machine learning pipeline by myself after learning a lot from this course.

創建者 Abe G V T S

Oct 08, 2017

Great course! Very recommended! Though the assignments were kinda hard, but they are worth it

創建者 Sultan M A A

Nov 08, 2019

the course was fun and full of information to learn. very well professor. thank you so much.