Chevron Left
Volver a Applied Machine Learning in Python

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

4.6
estrellas
7,739 calificaciones
1,414 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.

Filtrar por:

1251 - 1275 de 1,399 revisiones para Applied Machine Learning in Python

por Amita D

18 de may. de 2018

Need more information about more algorithms

por Ruben W

8 de sep. de 2019

Best course so far in this specialisation

por Alan F

28 de feb. de 2018

Good course but there's a lot of material

por Abdulwaheed M

17 de jun. de 2020

Teaching is very good and it is helpfull

por Alperen B O

16 de dic. de 2020

I get late feedback for lab assignments

por Ramya K

15 de jul. de 2019

Well-organized but assignments too easy

por Supratim D

10 de ago. de 2017

Very informative but bit too difficult.

por ROHIT J

2 de ago. de 2020

very helpfull.thanks for creating this

por Xiang C

12 de may. de 2020

It's good to learn how to use sklearn.

por Jagadish C A

19 de sep. de 2019

Gives good overview of ML using Pyton

por Shreekant G

17 de jul. de 2019

Really taught best ML algorithms

por xingkong

9 de ago. de 2017

quiz is harder than assignment.

por shreyash t

28 de jul. de 2020

overalll good way to start ml

por Vaibhav S

27 de may. de 2020

way better than last teacher.

por Nicolas B

5 de jul. de 2017

Muy buen curso, muy completo.

por SANSKRITI G 2

26 de oct. de 2021

it was an amazing experience

por 李祥泰

15 de ago. de 2017

Nice courses with nice quiz!

por 刘倬瑞

29 de jul. de 2017

Useful, though a little easy

por Landon M L

9 de jul. de 2017

the discussion forum is good

por Rizvaan M

21 de may. de 2020

This was a great course.

por Biswakarmi K

18 de ago. de 2021

v​ery helpful course..

por Yassin B M

17 de jul. de 2020

Good Course , Thanks!!

por Burak

30 de sep. de 2018

good for scikitlearn.

por David P

4 de ago. de 2021

A really good course

por Bama

11 de jul. de 2020

This course is good.