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Вернуться к Applied Machine Learning in Python

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

Оценки: 7,024
Рецензии: 1,278

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

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.

8 сент. 2017 г.

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

Фильтр по:

826–850 из 1,257 отзывов о курсе Applied Machine Learning in Python

автор: Juan V P

16 июля 2019 г.

Awesome course!

автор: Francisco M

12 июля 2017 г.

Good stuff here

автор: BISWA B G

24 дек. 2020 г.

It was Amazing

автор: Tanushree P

21 авг. 2020 г.

Awesome course

автор: David F

11 авг. 2020 г.

Great course!!

автор: Himanshu B

2 мая 2020 г.

amazing course

автор: Akash D

26 мар. 2020 г.

Thank You! Sir

автор: akash p

23 мар. 2020 г.

it was helpful

автор: Moez S

18 нояб. 2019 г.

Amazing course

автор: Amin O

26 сент. 2019 г.

Lovely course!

автор: George G

22 дек. 2018 г.

Awesome course

автор: li m

28 окт. 2018 г.

very practical

автор: Hema

19 июля 2018 г.

Great course!!

автор: Julian O

5 июля 2018 г.

Great overview

автор: Gerardo M C

11 окт. 2017 г.

Great course!!

автор: Aniket B

24 июня 2017 г.

Awesome course

автор: Rateb K

28 сент. 2020 г.

Great Course!

автор: MOINAK K M

18 июня 2020 г.

Great course.

автор: Nico M

30 мар. 2020 г.

Great course!

автор: 何霄

23 сент. 2019 г.

great course!

автор: Oliver O

11 мар. 2019 г.

Great course!

автор: Harsh S

10 мар. 2019 г.

Great content

автор: Sreenivasulu B

30 янв. 2019 г.

Great course!

автор: Yash R S

17 июля 2018 г.

Good course!!

автор: Ziyi W

11 окт. 2020 г.

very helpful