Chevron Left
返回到 Applied Machine Learning in Python

学生对 University of Michigan 提供的 Applied Machine Learning in Python 的评价和反馈

4.6
星
8,770 个评分

课程概述

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....

热门审阅

PS

Apr 2, 2018

Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!

DB

Oct 22, 2020

EXTREMELY USEFUL AND GOOD COURSE, CONGRATULATIONS TO ALL THE PEOPLE INVOLVE.Honestly, I never thought I could learn so much in an online course, excited for the rest of the specialization

筛选依据：

601 - Applied Machine Learning in Python 的 625 个评论（共 1,599 个）

创建者 Dr G N R

•

Jun 17, 2020

excellent . but somewhat twisty assignments. please give easy assignments

创建者 Bruce M

•

Mar 3, 2020

Excellent course. I learned a lot and enjoyed the challenging

assignments.

创建者 Mohammad S

•

Jul 29, 2019

really helpful course that acts like a great refresher before interviews.

创建者 Sacenda C

•

Jul 26, 2018

Incredible MOOC ! Very interesting if you want to start machine learning.

创建者 Husam A

•

May 19, 2020

The best course to survey machine learning algorithms and methodologies.

创建者 Anirudh S

•

Mar 14, 2018

Fantastically explained. with jupyter notebooks! appreciate your effort.

创建者 Arshad M

•

Jun 4, 2023

One of the best introductory courses. What a beautiful way of teaching.

创建者 Ahmad H S

•

Jul 26, 2019

It is Comprehensive course and give great baseline to enter this domain

创建者 Val A B

•

Nov 20, 2018

This is a very good way to start machine learning if you're a beginner.

创建者 N180606 B S P

•

Nov 17, 2022

I am thankful to the University of Michigan for providing this course.

创建者 Holger P

•

Oct 7, 2017

Great course covering Python's Machine Learning library scikit-learn.

创建者 Chen M

•

Sep 28, 2017

This is really a very practical course, and inspiring me to learn more

创建者 Qian H

•

Jul 4, 2017

Nice course with an good level. I really leant a lot from this course!

创建者 Thịnh C

•

Nov 2, 2020

I learnt a lot from this course. 10/10 would recommend to my friends.

创建者 Tanmoy M

•

Sep 30, 2020

Amazing. How can a course be so awesome!!! Thanks to the Instructors.

创建者 PURNA C R . K

•

Jul 22, 2020

It's a superb course well organised with good and real time examples.

创建者 a l s

•

Jan 21, 2019

A very systematic introduction to most used machine learning models.

创建者 Γεώργιος Κ

•

Jan 10, 2018

A must to to have lesson for Data Science using Pandas and Matplotlib

创建者 mugnaio

•

Sep 28, 2017

As all course in this specialization, this is very interesting course

创建者 Oscar J O R

•

Jul 1, 2017

Amazing module. Clear explanations and useful examples and exercises.

创建者 Deep S

•

Feb 3, 2021

Precise and concise. Good for getting started in using Python for ML

创建者 devanshu s

•

Jul 6, 2020

very good course! Had great time applying the concepts I had learnt.

创建者 Bina S

•

Oct 7, 2019

Learned Machine learning enough to know what it is and how it works.

创建者 Mauritz v d W

•

Sep 24, 2017

One of the best applied machine learning courses I have come across.

创建者 subha m

•

Mar 15, 2024

Very much satisfied with this course very much thankful to coursera