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

AS

Nov 26, 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.

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：

876 - Applied Machine Learning in Python 的 900 个评论（共 1,599 个）

创建者 DIVYA G

•

Sep 7, 2021

it was a very good experience

创建者 Christopher P

•

Mar 9, 2021

Great survey of ML w/ Sklearn

创建者 Devjyoti M

•

Aug 1, 2020

It was an amazing experience.

创建者 Renjith

•

Apr 8, 2020

Awesome course, good learning

创建者 Dongsoo K

•

Jul 17, 2017

Very good and straightforward

创建者 Manthan K U 2

•

Nov 30, 2025

when will i get certificate?

创建者 Juan A V

•

Apr 10, 2022

Great, excellent assigments.

创建者 Araceli Z M

•

Aug 8, 2021

Great course and challenging

创建者 PRAKHAR K S

•

Jun 23, 2020

great experience in learning

创建者 Rana S A

•

Jun 8, 2020

Very much Informative Course

创建者 VEDURLA V S N A S

•

May 17, 2020

very nice course.very useful

创建者 Anurag M

•

Jun 9, 2019

Excellent material for study

创建者 John H E

•

Mar 16, 2019

I truly enjoyed this course.

创建者 John D L C

•

Dec 27, 2018

This is an excellent course.

创建者 Amrith M

•

Jul 8, 2017

Yet another Awesome course!!

创建者 UMANG P S

•

Jun 17, 2020

Great Exposure of knowlwdge

创建者 fernandes m

•

Jun 16, 2020

The best course a ever had.

创建者 narra s s

•

May 10, 2020

Great platform for Learning

创建者 P.Raja S

•

Apr 25, 2020

nice and informative course

创建者 Xinzhi Z

•

Jun 23, 2019

Great course! Very helpful.

创建者 Tianyang Z

•

Jul 6, 2017

great course. Learned a lot

创建者 Kshitij K

•

Sep 17, 2020

Very helpful for my career

创建者 Vinit K

•

May 7, 2020

Great learning experience.

创建者 Ray B

•

Oct 28, 2018

Good intro to scikit-learn

创建者 IvorX

•

Oct 14, 2018

It is a very great course.