Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan
About the Course
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, ...
Top reviews
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!!
AS
Nov 27, 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.
301 - 325 of 1,558 Reviews for Applied Machine Learning in Python
By mahsa R m
•Sep 5, 2022
Thanks to the instructor, I've learned a lot about Machine learning algorithms, pre-processing of data, evaluation, and also working in different environments and playgrounds.
By Valeriya P
•Jul 25, 2017
multi selection questions in quizzes are a bit hard to handle, i think there should be more hands-on experience included. Loved notebooks when one answer lead to the next one.
By Machiraju S
•Oct 25, 2020
The content is so crisp and articulated well. The assignments and quiz need fair amount of work to complete. My fav part of this course is week 4 and tutor nailed it so well.
By Jay S
•Jul 2, 2017
Excellent introduction to Machine Learning! The course focus is on supervised ML. Well taught ! Course is well structured with lots of tips & tricks for model evaluation.
By yepi
•Jul 1, 2017
Great course! I have learnt a lot of machine learning skills from this course. Regression, classifier, metrics, clustering. This course cover both theory and practicing. The
By Aayush N
•Jul 8, 2020
A dedicated course with focus on application of supervised machine learning algorithms which can help the student to apply these algorithms in many real-world applications.
By John J M
•Jun 5, 2020
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.
By Jean A S
•May 3, 2021
The course is very interesting, well structured, and the videos are well done.
The teacher's speaking speed is very interesting, it allows to better understand the lessons
By GM F M
•Apr 13, 2020
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.
By Georgios C
•Dec 16, 2020
One of the best machine learning course! The professor is very talented! Even with a good ML background it is still a very valuable course. The final project is perfect.
By vipul k s
•Dec 27, 2019
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.
By Dylan E
•May 3, 2018
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!
By Shahanavaj
•Aug 25, 2019
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.
By Steffen H
•Nov 13, 2018
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!
By Kelly L
•Nov 30, 2021
Great course, both for someone who is starting out in ML and someone experienced. The Lecturer breaks down the course content very nicely in an easy to understand way
By Leandro B
•Jun 14, 2020
Well designed course. The last assignment really makes you review every lesson learned in previous modules. I recommend this course for intermediate python developers
By GANG L
•Nov 4, 2017
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.
By Emiliano C
•Apr 29, 2021
Increíble curso. Ejercicios muy aplicados, a la larga ya el señor da un poco de flojera y los artículos para leer como opcionales son muy buenos, recomiendo leerlos.
By Qiaochu S
•Mar 11, 2019
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.
By Giuliano G
•Oct 29, 2017
The course is overwhelmingly interesting and provides readily available tools. The teaching assistants and professor are all extremely helpful. Absolutely suggested!
By Ishita B
•Oct 29, 2021
I COMPLETELY ENJOYED LEARNING THIS COURSE. I LOVED THE MANNER IN WHICH OUR TEACHER JUST MADE ALL THE TOPIC EASY TO UNDERSTAND. LOOKING FORWARD TO LEARN MORE SKILLS
By 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.
By Pieter J V V V
•Feb 13, 2019
Inspirational course, learning you in a comprehensive manner, a thorough approach to machine learning with the target specific peculiarities and possible pitfalls.
By Vladimir
•Sep 27, 2017
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.
By Jeroen v L
•Jul 24, 2017
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.