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學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

4.6
4,368 個評分
758 個審閱

課程概述

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....

熱門審閱

OA

Sep 09, 2017

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses

FL

Oct 14, 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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76 - Applied Machine Learning in Python 的 100 個評論(共 739 個)

創建者 Maxwell S d C

Apr 09, 2019

One of the best courses ever! Plenty of things to learn, to evolve. Superb!

創建者 Luis G A B

Apr 12, 2019

Muy agradecido, mis felicitaciones al Profesor Collins-Thompson, se muestra como una persona amable, dinámica y con alto grado de conocimiento, gracias a sus enseñanzas estoy aprendiendo más sobre el proceso de machine learning, siento que aun me falta mucho por recorrer, sin embargo, a lo largo de este curso aprendí los métodos, tipos de modelos, herramientas tanto para clasificación como regresión enfocándome en el área. De igual forma la literatura es muy interesante, se encuentran artículos que al leerlos vas comprendiendo como ha sido el proceso de transformación en este campo y gracias a esto, se me han ocurrido ideas que me gustaría compartir o estructurar para evidenciarlas de manera mas formal.

Muchas gracias por el apoyo, gracias por las observaciones y anotaciones dentro de los foros de discusión, siento que puedo seguir aprendiendo mas y es por eso que estoy agradecido por mis conocimientos adquiridos, los cuales siempre puedo retroalimentar viendo el curso nuevamente cada vez que lo considere pertinente.

創建者 PHAM A T

Mar 12, 2019

excellent course

創建者 Andrew

Mar 11, 2019

Really well explained theory without too much of a mathematical deep dive that provides a perfect set up to learn about machine learning from a purely math/stats perspective through Andrew Ng's Machine Learning course or self study

創建者 Esmerlin R M

Mar 04, 2019

Este curso es increíble.

創建者 Farzad E

Mar 14, 2019

Assignments and quizzes help you a lot in consolidating the concepts. However, some questions in quizzes are tricky but not in a way that really adds to your understanding of the topic. Overall a pretty good course. (4.5/5 is the rating I would give)

創建者 AMAN K

Mar 06, 2019

Course Material is quite interesting and practical.

創建者 Muhammad A a

Mar 06, 2019

Great course

創建者 Fabiano R B

Mar 08, 2019

The course is a great overview of the basic algorithms that every machine learning practitioner should know. Since it has a limited amount weeks to cover such a broad subject, you will have to dig a little deeper by yourself. I found the reading material also very interesting. The final project is awesome and it will definitely make you experiment what is exactly what a Data Scientist should do.

創建者 John H E O

Mar 16, 2019

I truly enjoyed this course.

創建者 ANUBHAV K

Mar 17, 2019

very good course

創建者 Jose Á P L

Mar 17, 2019

Muy buen curso para iniciarse en el machine learning

創建者 Olin S

Jan 06, 2019

The programming assignments where though because the automatic grader was very picky. Please change it so it gives the user more input about what part of their code is wrong. Also Have a repository where the user can retrieve previous submissions.

創建者 Akash C

Dec 09, 2018

Excellent Course

創建者 George G

Dec 23, 2018

Awesome course

創建者 Dr S K

Jan 08, 2019

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

創建者 Weinan H

Jan 21, 2019

A very systematic introduction to most used machine learning models.

創建者 miguel c

Mar 10, 2019

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

創建者 Pieter J V V V

Feb 13, 2019

Inspirational course, learning you in a comprehensive manner, a thorough approach to machine learning with the target specific peculiarities and possible pitfalls.

創建者 Nitin K

Mar 11, 2019

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

創建者 Oliver O

Mar 11, 2019

Great course!

創建者 Anne E

Feb 14, 2019

Very nice class for people who have some intermediate knowledge in Python and who want to dig in, or consolidate their knowledge in Machine Learning. Great overview over scikit-learn, also going into details, and I also appreciated the part of the class about model evaluation. First week might seem not overly difficult, but the intensity of the class ramps up significantly in week 2. For me the level was challenging enough, without being overwhelming. I enjoyed taking this class and obtaining my certification at the end was a very nice reward. A big thank you to University of Michigan.

創建者 Harsh S

Mar 10, 2019

Great content

創建者 Naman M

Feb 26, 2019

The Instructor is marvelous. The Assignments are amazing, The TA is really responsive. The content only for one month course was outstanding, my feedback would be to increase the amount of exercises(coding) and assignments, and make the course for 2 months.

創建者 Yu S

Jul 16, 2018

Good applied material to study along theoretical material!