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Вернуться к Applied Machine Learning in Python

Отзывы учащихся о курсе Applied Machine Learning in Python от партнера Мичиганский университет

4.6
звезд
Оценки: 6,880
Рецензии: 1,246

О курсе

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....

Лучшие рецензии

FL
13 окт. 2017 г.

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!!

AS
26 нояб. 2020 г.

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.

Фильтр по:

876–900 из 1,225 отзывов о курсе Applied Machine Learning in Python

автор: Edgar M d J G B

13 мая 2019 г.

Excelente

автор: Марчевский В Д

29 апр. 2019 г.

Good one!

автор: Parul S

25 мар. 2019 г.

excellent

автор: Cyrus N P

24 нояб. 2018 г.

THE BEST!

автор: Saumya S

12 сент. 2018 г.

excellent

автор: timetraveller

7 сент. 2018 г.

nice shiz

автор: Srilatha T

9 янв. 2018 г.

excellent

автор: Arnab

3 нояб. 2017 г.

Excellent

автор: clark x

2 июля 2017 г.

very good

автор: Megha T

26 июня 2017 г.

helpful !

автор: Daniel C C

22 июня 2017 г.

Amazing!!

автор: Shreyash

30 нояб. 2020 г.

Awesome!

автор: Arnab M

22 сент. 2020 г.

Good one

автор: David B d M J

2 сент. 2020 г.

awesome!

автор: Mohammad Y

19 июня 2020 г.

Perfect

автор: V. P R

24 сент. 2019 г.

awesome

автор: SHAHUL E

30 сент. 2018 г.

awesome

автор: Ankur K

13 сент. 2018 г.

Awesome

автор: Tam

25 июля 2018 г.

Awesome

автор: Markus T

11 авг. 2017 г.

Ist gut

автор: KAIWUSAIER A

7 нояб. 2020 г.

great!

автор: Yoselin A

23 июня 2020 г.

Great!

автор: Nattawat B

19 апр. 2019 г.

Great!

автор: Tushar T

5 нояб. 2017 г.

Superb

автор: Shiyu M

8 окт. 2020 г.

很有启发性