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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: 6,766
Рецензии: 1,219

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


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!!


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

Фильтр по:

1026–1050 из 1,199 отзывов о курсе Applied Machine Learning in Python

автор: ZHAI L

May 11, 2018

Compared to previous two courses in this specialization, this course need more time for self-learning.

автор: Justin M

Apr 11, 2018

Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.

автор: Manjeet K

Sep 14, 2019

Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.

автор: Ulka K

Feb 27, 2020

I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.

автор: Stephen R

May 08, 2018

Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking

автор: Michel H

Jan 23, 2020

helpfull, but so many information in little time. Difficult to get clarified the ideas behind

автор: Samantha

Apr 05, 2020

Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!

автор: Koffi M K

Oct 14, 2019

A part from some small issues when doing the last assignment(4), Everything was all right.

автор: WhiteCR

Feb 15, 2020

Good course for practicing machine learning algorithms with Python Sci-kit Learn package.

автор: Massimo T

Nov 12, 2019

The python packages used in the course are becoming outdated

adding useless difficulties.

автор: soymilk

Oct 03, 2020

Contents of lecture are good but the assignments got many problems that should be fixed

автор: falak2000

Oct 28, 2020

It's really a great course for the beginner to begin with the machine learning basics.

автор: Haldankar S N

May 29, 2020

too much content for 4 weeks course as compared to other courses in the specialization

автор: YJFKD

May 19, 2020

Good course if you want to know how to build machine learning models via scikit-learn.

автор: Sumit t

Jun 23, 2020

Nice Course and good explanation about practical implementation of machine learning

автор: Niv B

Jul 30, 2018

On 1x speed, I'd rate it 3 stars, on 1.5x its 4.

The professor just speaks too slow.

автор: Setiadi

Jul 27, 2020

This course is good for somebody wanna to know about the Machine Learning, thanks.

автор: tqch

Jul 24, 2020

Just hoping the problems in assignments/quizzes could be explained more clearly.

автор: Claire-Isabelle C

Jun 24, 2017

I learned A LOT in this course and was pretty proud to pass all the assignments.

автор: Saori Y

Jul 22, 2020

The course was really good! However, auto-grading system need to be updated....


May 09, 2020

Very nice and informative course..Keep it up. This course has helped me a lot.

автор: Hanchi W

May 18, 2019

Good content, some coding assignments are hard to submit(csv file not found)

автор: Bharat R

Aug 22, 2017

Nice course. Multiple choice quizzes could have been worded a bit better.

автор: Grace Y

May 15, 2020

the material for self-learning after classes is not comprehensive enough.

автор: Douglas P

May 28, 2018

Generally worth while but the automatic grading system could be improved.