Chevron Left
返回到 Applied Machine Learning in Python

學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

4.6
6,863 個評分
1,242 條評論

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

AS
2020年11月26日

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.

FL
2017年10月13日

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!!

篩選依據:

251 - Applied Machine Learning in Python 的 275 個評論(共 1,223 個)

創建者 John J M

2020年6月5日

Feel strongly, that this is the best of the 3 core courses in the specialization. The lectures were excellent and the notebook modules supplemented the lectures very well.

創建者 GM F B M

2020年4月12日

This is a very first course of Machine Learning that I have ever completed. I believe, this is a very good course to understand some basic applications of ML in real life.

創建者 vipul k s

2019年12月27日

Really good course. The instructor taught in a very precise way. The teachings were spot on and comprehensive. After this, now I can start to work on real-life projects.

創建者 Dylan E

2018年5月3日

I enjoyed this course it was fun and very informative. This course also gave me a bunch of resources such as The Elements of Statistical Learning which is a great book!

創建者 KARTHICK T J

2020年7月17日

ML is a wonderful course.I learn new concepts with hands on experience.Each and every algorithm concept is clearly explained .I learn how to handle real time data set.

創建者 Shahanavaj

2019年8月25日

It's a best course for the one who wants to learn machine learning with python. All you need to do hard work for the certification. Give your best and crack the codes.

創建者 Steffen H

2018年11月13日

Liked the course! At times a bit challenging but the discussion forums are helpful. Gave me a good overview of the topic, but I feel I have just scratched the surface!

創建者 Leandro B

2020年6月14日

Well designed course. The last assignment really makes you review every lesson learned in previous modules. I recommend this course for intermediate python developers

創建者 GANG L

2017年11月4日

It's very hard to teach ML in such short course. But this course did very well, focus on how to use sci-kit classifier from clean data to select model. Very practice.

創建者 Qiaochu S

2019年3月11日

This course has been really helpful to me! All the contents we need to grasp each week were well-designed and the assignments are easy, interesting and enlightening.

創建者 Giuliano G

2017年10月29日

The course is overwhelmingly interesting and provides readily available tools. The teaching assistants and professor are all extremely helpful. Absolutely suggested!

創建者 James S

2019年2月21日

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 Pieter J V V V

2019年2月13日

Inspirational course, learning you in a comprehensive manner, a thorough approach to machine learning with the target specific peculiarities and possible pitfalls.

創建者 Vladimir

2017年9月26日

A course that gives not only solid understanding of Machine Learning, but provides with skills to actually practice it on real world datasets. Highly recommended.

創建者 Jeroen v L

2017年7月24日

I like how the many different ML algorithms are explained in such a high-level. This is a good anti-dote to more theoretical courses. Best MOOC I have done so far.

創建者 Obed I R

2017年7月20日

Fantastic, and challenging course, a must and recommended. For those who are interested in Machine Learning and have experience with Pandas and Python programming.

創建者 Kevin

2020年8月28日

Great course, with clear explanations. It is a great introductory course. As the name implied, this is for applying the tools needed for Machine Learning practice

創建者 Fatemeh H

2020年10月27日

It was really great and improved my knowledge of machine learning algorithms. However the assignment were so diffrent from what have been teached in the courses.

創建者 Karen Y

2017年7月30日

A very good course that I would recommend for others to take. It covers quite a bit of material but it is still worth it. Very satisfied with what I learned.

創建者 Eduard M

2017年7月5日

The evaluation is sometimes problematic, otherwise is very good. I had a problem with matplotlib which was just imported and nowhere was written to remove it.

創建者 Baran T

2017年8月6日

really great course, using online jupyter notebook is a great way to increase hands on experience. auto-grader needs some improvements but not a huge problem

創建者 Hafiz M S Z

2020年1月29日

I learn many new things which I have not learn in my university.The best quality courses encourage me to learn and explore more in deep Machine learning.

創建者 Ji W P

2017年7月22日

excellent course. Lectures were good, not too heavy on theory, and assignments were challenging but doable. I liked assignments much better than the quizzes

創建者 Jose S

2017年6月16日

Great course. The material is well thought, the assignments are excellent. I learned a lot and I am already leveraging what I learned in the course at work.

創建者 Ramazan A

2020年7月16日

Perfect course! No math, only applications, definitely I will use it later in my studies since course provides many useful examples / explanations / codes.