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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
4,247 個評分
739 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

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

篩選依據:

51 - Applied Machine Learning in Python 的 75 個評論(共 720 個)

創建者 Purna C K

Feb 21, 2019

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

創建者 James S

Feb 21, 2019

Very excellent course. Well done explanations even if there is some language confusion. Taking the time to really understand the concepts makes all the difference.

創建者 Michael T

Feb 21, 2019

Great content and reference materials

創建者 Angadvir S P

Feb 24, 2019

The course was very useful, however, few of the assignments (specifically assignment 2) had a few errors in accurately displaying the question content and grading method was found to be slightly inconsistent with what was asked in the cells (Jupyter notebook).

4.5/5.0 stars

創建者 Varga I K

Feb 25, 2019

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

創建者 Yunhong H

Mar 23, 2019

I learned a lot from this course. I gained confidence after I finished this course.

創建者 Dingqiang Y

Mar 22, 2019

Good introduction with python tools.

創建者 Henri

Mar 23, 2019

Excellent course, but be ready to spend some time on debugging the automatic grader especially for the final assignment!

創建者 Rohit M S

Mar 22, 2019

The Course is amazing. you get to learn a lot

創建者 Ivan S F

Mar 23, 2019

Very good course. Not very deep, but definitively very wide and appropriate for an overview course of machine learning in python.

創建者 Christian L

Mar 21, 2019

Very good hands-on course to explore the implementation of the major ML algorithms with Python - Probably more valuable with prior general ML knowledge

創建者 Akash G

Mar 03, 2019

awesome DS

創建者 Keary P

Mar 24, 2019

Great for high level concepts and practical applications of machine learning. After taking this course I feel more confident in my ability to work on real world machine learning tasks.

創建者 Parul S

Mar 25, 2019

excellent

創建者 Ramakant D

Mar 27, 2019

super..............

創建者 Sooraj S

Mar 31, 2019

Good introduction to Machine Learning and implementation in Python.

創建者 Surya P M

Apr 01, 2019

complex topics are explained in a simple way. coding assignments, quiz helped a lot to learn and apply numerous machine learning concepts perfectly.

創建者 Ajay S

Jan 29, 2019

great course thanks for financial aid for the course .

創建者 Manik S

Feb 08, 2019

Optional references to the inner workings should be provided. For example how Decision Trees are trained and how the best division is decided.

創建者 Mikhailov R

Jan 27, 2019

Sometimes the lecturer is boring but overall perfect course

創建者 H.-M. F C

Jan 26, 2019

The course ire great and illustrates many useful topics. The only thing it needs to improve is about the assignment 4 which requires more information to solve the problem, in particular, people who deal with the complete machine learning problem.

創建者 Roberto L L

Jan 26, 2019

Awesome Course, I learned a lot of tools from Machine Learning

創建者 Sreenivasulu B

Jan 30, 2019

Great course!

創建者 Adolfo G S

Jan 30, 2019

Excellent course, you must to take it and work by yourself in the Assignments

創建者 Shaukat

Feb 11, 2019

excellent course