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Отзывы учащихся о курсе Applied Machine Learning in Python от партнера Мичиганский университет

4.6
stars
Оценки: 4,533
Рецензии: 782

О курсе

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....

Лучшие рецензии

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!!

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

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251–275 из 766 отзывов о курсе Applied Machine Learning in Python

автор: Yashar Z Z

Aug 29, 2017

This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.

автор: Lorena G

Aug 04, 2017

Still some hard for me both the quiz and assignment, however it is interesting and worth studying

автор: Nitin K

Mar 11, 2019

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

автор: Jiangming Y

Mar 04, 2018

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

автор: Yuxin W

Aug 30, 2019

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

автор: Mohamad F I

Jun 25, 2018

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

автор: Ivan R

Aug 06, 2017

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

автор: Dmitry B

Jul 22, 2017

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

автор: Martin H

Jul 06, 2017

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

автор: miguel c

Mar 10, 2019

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

автор: Varga I K

Feb 25, 2019

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

автор: Arpit S

Jun 13, 2019

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

автор: Wixee Z

Apr 28, 2019

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

автор: Abe G V T S

Oct 08, 2017

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

автор: Sultan M A A

Nov 08, 2019

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

автор: Felipe F F

Aug 29, 2019

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

автор: Devashish S

Sep 08, 2017

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

автор: Bernard F

Jul 31, 2017

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

автор: Gustavo W

Jun 19, 2017

Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way

автор: Jun W

Aug 04, 2018

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

автор: Konstantinos S

Aug 15, 2017

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

автор: Sergej G

Aug 17, 2019

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

автор: elsa y

Oct 09, 2018

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

автор: Daniel R

Dec 12, 2018

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

автор: Santiago D D

Sep 05, 2018

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