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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
7,749 calificaciones
1,415 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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1226 - 1250 de 1,400 revisiones para Applied Machine Learning in Python

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.

por Jose I B L

30 de jul. de 2020

Good coure, need more feedback in the quizzes and asigments.

por Sai A D

13 de oct. de 2019

pre-processing and unsupervised learning needs more emphasis

por Deleted A

13 de jul. de 2018

there are some gaps which is really difficult to understand!

por Xingyu W

13 de oct. de 2019

Need a better configuration for homework data file loading.

por DENIS R

22 de may. de 2020

allowed me to hone my knowledge of machine learning models

por Jason A

26 de jun. de 2018

This course was tougher than expected, but I learned a lot

por Bernardo A

8 de jun. de 2017

Great content and good assignments! Learned a lot from it.

por Gururaj K

11 de nov. de 2021

overall the course was good and has good content of data.

por Manoj B

2 de jun. de 2020

Decent course. I'd call this, 'Intro to Machine Learning'

por Antti H

23 de oct. de 2020

Good course, but the labs have quite a few bugs in them.

por Wang Y

16 de feb. de 2018

Good, despite some confusions in the lecture and quiz.

por Tangudu S S

23 de may. de 2020

Got a very clear picture of ML usage in Data Science.

por Yash B

7 de may. de 2020

It was little bit difficult specially the assignments

por Abhishek R

27 de may. de 2018

Needed a better retrospect on final/week 4 assignment

por Alexander C

11 de mar. de 2018

Good introductory course. A lot of material covered.

por Dr. F T

17 de ago. de 2018

Good but I was expecting much details in some area.

por KOSHAL K

1 de mar. de 2020

Its a very good course for an intermediate level.

por Vinay P d L R

26 de sep. de 2017

goes too fast and too shallow to deserve 5 stars

por Prerna A

27 de abr. de 2021

The course is planned in a very structural way.

por Anendra G

30 de abr. de 2018

Awesome theory about machine learning concepts.

por Catherine M

1 de mar. de 2021

Nice course. A lot of ML models get presented.

por harsh a

3 de feb. de 2018

Good course.

Thanks to entire team

Harsh Arora.