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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
7,144 個評分
1,296 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

AS
2020年11月26日

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

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!!

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1251 - Applied Machine Learning in Python 的 1275 個評論(共 1,276 個)

創建者 Rohit S

2020年5月21日

The online grader needs to be updated as there is constant error showing up though our code is right

創建者 Gilad A

2017年6月27日

The last assignment was super. apart for it, the assignments and the course were too easy

創建者 Sai P

2020年6月3日

There were a few corrections made during the videos which ended being quite confusing.

創建者 Philip L

2017年10月31日

The assignments are extremely difficult, professor is a bit dry during lectures.

創建者 Pakin S

2020年1月10日

How can i pass without reading discuss about problem with notebook

創建者 Hao W

2017年8月27日

The homework is too easy to improve our understanding of ML

創建者 M S V V

2020年6月29日

Too much of information compressed within a short span.

創建者 José D A M

2020年6月21日

Too fast, yet too difficult. Needs deeper explanation.

創建者 Navoneel C

2017年11月21日

Nice and Informative but not practically effective

創建者 Priyanka v

2020年5月8日

if it is more detailedthen it will be more useful

創建者 Sameed K

2018年3月15日

have to figure out a lot of things on you own.

創建者 Andy S

2019年6月4日

It could have been better with more examples.

創建者 Shan J

2020年4月12日

The explanation could have been much better.

創建者 Jeremy D

2017年7月10日

The topics were good, but too many were d

創建者 Ryan S

2017年12月12日

Homeworks are inconvenient to submit

創建者 PIYUSH A

2020年5月16日

The narration was a bit boring.

創建者 shreyas

2020年6月29日

Teacher wasn't very good

創建者 Abir H R

2020年6月30日

very long videos

創建者 Wojciech G

2017年10月28日

To fast paced.

創建者 Aarya P

2020年9月30日

Really disappointed with the course ...you may ask why??

The first thing is the instructor , super boring. The instructor (with all due respect) was very dry and the lectures were super uninteresting. When he keeps on talking code, but doesn't really explain stuff. The material and lectures were dry and colorless.

Me without having good statistics background had huge difficulties understanding the concepts. Please i recommend everyone to have good knowledge in statistics before starting the course. ABSOLUTELY NOT THE BEGINNER LEVEL AND NEITHER INTERMIDIATE LEVEL .the course is quiteeeee difficult.

You also need to have a lot of self study , which i am not a big fan of. I hope they make the course more fun rather than a man constantly talking on the screen .

創建者 Oswaldo C

2020年8月22日

Los videos no son suficientemente extensos ni para explicar el código, ni para explicar la teoría detrás de los algoritmos, se queda a medio camino de los dos siendo insuficiente en ambos casos

創建者 David C

2020年11月8日

Not as good as prev. courses. Univ. of mic. should update or get ride of this module

創建者 Aditya M

2020年7月17日

Can't the lecturer use proper slides with proper diagrams for a better explanation.

創建者 SHREYAS D

2020年8月14日

Things in the beginning are not explained properly

創建者 Konark Y

2020年5月10日

many issues while submitting assignments