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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
7,730 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

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!!

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.

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501 - 525 de 1,398 revisiones para Applied Machine Learning in Python

por Lahari M

11 de jun. de 2020

The best course ever for understanding the ml concepts clearly.thanks to coursera.

por Yunhong H

23 de mar. de 2019

I learned a lot from this course. I gained confidence after I finished this course.

por Alejandro M

14 de ene. de 2018

The Course give you a general view and direct applications in Business and Science.

por David M

26 de feb. de 2021

Extremely useful. The most import course within the specialization in my opinion.

por Ozgun S

4 de ago. de 2020

Both classes and assignments are both perfectly structured and very well designed.

por GAJULAMANDYAM D K R

13 de jun. de 2020

very deep explanation...super quick guide for beginners interested in exploring ML

por Rodrigo G M

4 de may. de 2020

Very well presented. The content is on the correct depth, and very much practical.

por Muhammad M M

20 de ene. de 2020

it's very good explanation about how we use Machine Learning in real-life problem.

por BRAD O

28 de ago. de 2019

This is a great introductory course to Machine learning and I enjoyed it very much

por Antonios P D

29 de nov. de 2017

Nice introductory course to Machine Learning, with focus on applying it in Python.

por Gifari Z

2 de nov. de 2020

Very nice introduction of ML using python. Comprehensive and practical materials.

por Millennium G

18 de jul. de 2020

Great course! Professor is also very good as he took real life examples to teach.

por PATEL H K

2 de jun. de 2020

Awesome course!! should definitely take this to learn Machine Learning in advance

por George d V C N

31 de may. de 2020

Great course, a lot of practice with some theory. It's a great resource to start.

por Tom M

22 de ene. de 2019

Wow, great course, so much material covered. Will save this one for later review.

por Romel C B

19 de dic. de 2018

Me gusto muchísimo, los temas, la dinámica para el aprendizaje y el trabajo final

por Juan S C G

26 de sep. de 2021

S​o far, the hardest course of this especialization. However, quite interesting.

por Gregory B

14 de dic. de 2020

Excellent to review all basics and more complex ML Model explanation in deeper .

por Mohd A A

28 de ago. de 2019

By the end of this course, you can apply your knowledge in different hackathons.

por Chengying L

7 de jun. de 2020

The course is fun, but changing the assignment directory each time is tricky...

por Darius T

19 de feb. de 2019

Great course for learning how to apply Machine Learning algorithms with Python.

por Srinivas B

25 de mar. de 2018

Its almost great, just short of 5 star rating! Liked the hands-on examples more

por Cristinel M

16 de jul. de 2017

Great value! An excellent complement of Andrew Ng's course on Machine Learning!

por Nevcihan t

28 de jul. de 2020

It was really effcient couse about ML. It cover nearly all parts of ML models.

por Sam J

19 de jul. de 2019

Very straightforward and to-the-point course! Good intro to machine learning!!