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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
7,745 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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451 - 475 de 1,400 revisiones para Applied Machine Learning in Python

por Dr. R R K

3 de may. de 2020

Week 2 assignment is hard to solve. My appeal is to review the questions again and make it easy.

por Nitin K

10 de mar. de 2019

Well structured course that gave a good insight on applying Machine learning to real life cases.

por Jiangming Y

4 de mar. de 2018

This is an excellent course, from which I have learnt a lot about machine learning with Python.

por Ahmed S

29 de oct. de 2020

excellent course for reviewing machine learning algorithms and difference between each of them.

por Muhammed J

16 de jul. de 2020

The instructor for this course was really good compared to the previous ones. I learnt a lot...

por Yuxin W

29 de ago. de 2019

Excellent course, with very clear lectures and useful exercises. Final project was interesting.

por Mohamad F I

24 de jun. de 2018

A good course focusing on basics of machine learning. Great for beginner with python knowledge.

por Ivan R

5 de ago. de 2017

Great course that covers the key aspects of machine learning in a manner that is easy to follow

por Dmitry B

22 de jul. de 2017

This course is the fast lane to hands-on experience with machine learning tools and algorythms!

por Martin H

5 de jul. de 2017

very excellent course, must take if you are welling to deal with data and applying ML al. to it

por miguel c

10 de mar. de 2019

Great collection of applied Data Science concepts, worked examples and challenges using python

por Varga I K

25 de feb. de 2019

Great and Strong fundamentals on machine learning without too much mathematics involved in it.

por harsh J

14 de feb. de 2021

Best Practical Course Ever Found. Learned many new things and applied them to other projects.

por Reginaldo S

7 de abr. de 2020

This course is perfect for those who wants to learning machine learning techniques in Python.

por Arpit S

13 de jun. de 2019

A Great course, the extra offered learning material helped me out to dig deep into the course

por Wix Z

27 de abr. de 2019

I can build a easy machine learning pipeline by myself after learning a lot from this course.

por Abe G V T S

8 de oct. de 2017

Great course! Very recommended! Though the assignments were kinda hard, but they are worth it

por Ardong S

6 de sep. de 2020

highly recommended course for intermediate machine learning practitioner (or also beginner).

por Daniel W

11 de jun. de 2020

Very nice course to better understand Scikit Learn and Python potential for Machine Learning

por Sultan A

8 de nov. de 2019

the course was fun and full of information to learn. very well professor. thank you so much.

por Felipe F

29 de ago. de 2019

Excellent applied course! Very intuitive and the instructor is very kind in his explanations

por Devashish S

7 de sep. de 2017

Really hands on course and the perfect way to get to know the domain and learn ML in Python.

por Bernard F

31 de jul. de 2017

Excellent balance of theory and practical work through code samples, quizzes and assignments

por Junqing Z

4 de oct. de 2021

Really useful course. Love the talking pace of the instructor Prof. Kevyn Collins-Thompson!

por Mengru Z

19 de mar. de 2021

Quite challenging course to get started with machine learning! Interesting and worth a try!