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Opiniones y comentarios de aprendices correspondientes a Applied Machine Learning in Python por parte de Universidad de Míchigan

4.6
estrellas
7,721 calificaciones
1,413 reseña

Acerca del Curso

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....

Principales reseñas

AS
26 de nov. de 2020

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
13 de oct. de 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!!

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1201 - 1225 de 1,397 revisiones para Applied Machine Learning in Python

por Niv B

30 de jul. de 2018

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

The professor just speaks too slow.

por Sabin A

31 de may. de 2021

Nice course helps understanding the basic ideas about machine learning algorithms.

por Setiadi M

27 de jul. de 2020

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

por tqch

24 de jul. de 2020

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

por Claire-Isabelle C

24 de jun. de 2017

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

por Saori Y

22 de jul. de 2020

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

por SAYANTAN B

9 de may. de 2020

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

por ABHAY T

31 de oct. de 2020

Please add the explanation on concepts on board.. sure that will impact more!

por Hanchi W

18 de may. de 2019

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

por Vishwanath V

19 de dic. de 2020

Its well designed course providing good overall concept involved in the ML.

por Bharat R

22 de ago. de 2017

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

por Grace Y

15 de may. de 2020

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

por Douglas P

28 de may. de 2018

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

por Daniel A

1 de sep. de 2018

Very useful. It's the right course to take after Andrew Ng ML course.

por Shwetank A

23 de jul. de 2019

Algorithim are not explained much better, just coding is explained.

por Hardik A

4 de ene. de 2018

An amazing course for learning the application of machine learning.

por Tom M

27 de sep. de 2017

Clean programming examples. A little simplistic for advanced users.

por Davide M

24 de oct. de 2018

Should be an harder final assignement, but a great course overral!

por Jeffrey D B

16 de oct. de 2018

Pretty good class, decent but very quick walk-through of ML tools.

por Arun P P

29 de jul. de 2020

It was n insightful course but was quite advanced for a beginner.

por Manuela D

8 de ago. de 2019

Well organised, lots of details, a good overview of ML algorithms

por Sang L

28 de jul. de 2018

Speed kinda fast but maganeable. Need more detiailed notes/slides

por Lasal J

29 de dic. de 2020

The content is great, I wish if there is more support in forums.

por ABHISHEK B

4 de mar. de 2021

Amazing Course for those who need to take the next step in ML.

por vatsal m

26 de may. de 2020

Some of the assignments have bugs in them please rectify them.