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

7,718 calificaciones
1,412 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

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.

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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476 - 500 de 1,397 revisiones para Applied Machine Learning in Python

por Jun W

4 de ago. de 2018

A very good course. The Jupyter Notebook of this course is very useful and self-contained.

por john w

14 de sep. de 2020

good course. the homework actually aligned with the lesson content. I enjoyed this course

por David G N A

21 de ago. de 2020

Excellent course! I think University of Michigan's courses are the best ones in Coursera.

por Abdoulaye B

10 de may. de 2020

This course was more challenging for me I was one of the best course so far I have taken.

por Pulkit K

25 de abr. de 2020

The content of the course was up to the standard. Please continue to make such course!!!!

por Konstantinos S

15 de ago. de 2017

Excellent course that really drives you hard to acquire hands on experience on the field.

por Omar M

23 de jul. de 2020

Excellent course no doubt , thanks to the instructor and the team prepared the course ..

por Mike F

12 de jul. de 2020

Good course, includes the fundamental of machine learning and how they applied in Python

por Tarun P S

20 de may. de 2020

Be prepared for a lot of grinding but by the end, you'll be pretty good at the material.

por Jiefei W

4 de abr. de 2020

Assignments provided good examples on how to select, fit and optimize a model in Python.

por Sergej G

17 de ago. de 2019

An amazing course, the only downside is lack of in depth unsupervised learning material.

por elsa y

9 de oct. de 2018

really recommend!very helpful to my study of machine learning. the material is classical

por Shubham S M

30 de sep. de 2020

Very Nice Platform to learn any course really worthy for student to gain some knowledge

por Anders W

16 de ago. de 2020

Well structured course with challenging exercises that greatly supported the learning.

por Michael I

29 de jul. de 2020

Good connect between the course content, lectures and the assignments. Relvant content.

por Vydumkin P

11 de ene. de 2021

Good ratio of new knowledge and experience vs mathematical and programming difficulty.

por Tiberiu T

1 de feb. de 2020

A comprehensive review of the most important concepts and methods in machine learning.

por Daniel R

12 de dic. de 2018

Wonderful program, great teacher. Learned a lot and have used a bit in the real world!

por Santiago D D

5 de sep. de 2018

Excellent topic and presenter! I learned a lot about Machine Learning from this class.

por Somdev B

27 de jun. de 2021

This course is great for someone who wishes to explore the vista of machine learning!

por Dr S K

8 de ene. de 2019

Good course. Lots of material, and direction what to study. I have really enjoyed it.

por Luis A L P

24 de dic. de 2020

Es un excelente curso. Tiene contenido muy valioso y listo para ponerlo en práctica.

por Naren S

4 de sep. de 2020

the assignments are too hard,but really educative and interesting.i loved the course

por Faizaan W

15 de jun. de 2020

Really helpful

I will teach you ML from strach.

Thank you coursera & Trainer Thompsom

por Lahari M

11 de jun. de 2020

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