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Вернуться к Applied Machine Learning in Python

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

4.6
звезд
Оценки: 4,817
Рецензии: 840

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

Фильтр по:

251–275 из 823 отзывов о курсе Applied Machine Learning in Python

автор: Alejandro R

Jul 08, 2018

Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.

автор: Mile D

Oct 17, 2017

After this course you will be able to do your own analysis using machine learning which is really great.

автор: Shashwenth.M

Dec 19, 2019

Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.

автор: Min L

Feb 06, 2019

A very good course to start journey on data science. Good combination of reading, lecture and practice.

автор: Francesco S

Mar 20, 2018

Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.

автор: Oumeyma F R

Dec 23, 2019

What I loved about this course is the consistency of its content and the quality of its presentation.

автор: Zachary Q

Aug 19, 2019

Was a great class where I learned to apply existing knowledge about ML to the actual background info!

автор: Muhammad A R

Sep 24, 2018

Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.

автор: KylinMountain

Jun 08, 2018

It's very impressive.

I suggest If we add a kaggle competition as a overall summery, that'll be great.

автор: Megan J

Dec 31, 2018

In depth understanding is required to complete the assignments. Challenging without being demanding.

автор: Evan G

Jul 24, 2018

Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML 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: Reginaldo S

Apr 07, 2020

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

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.