Chevron Left
Zurück zu Applied Machine Learning in Python

Bewertung und Feedback des Lernenden für Applied Machine Learning in Python von University of Michigan

4.6
Sterne
8,053 Bewertungen

Über den Kurs

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....

Top-Bewertungen

FL

13. Okt. 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

8. Sep. 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

Filtern nach:

1051 - 1075 von 1,465 Bewertungen für Applied Machine Learning in Python

von Yoselin A

23. Juni 2020

Great!

von Nattawat B

19. Apr. 2019

Great!

von Tushar T

5. Nov. 2017

Superb

von Nadila R

16. Nov. 2021

great

von ANGEL G M C

11. Juli 2021

great

von Shiyu M

8. Okt. 2020

很有启发性

von Soumyajit M

1. Okt. 2020

Great

von SHREYASHI D

17. Sep. 2020

great

von Richard Z

3. Sep. 2019

Good.

von Xia l

16. Mai 2019

GREAT

von xuhp

13. Nov. 2018

great

von shubham

17. März 2018

great

von Kunal J

13. März 2022

nice

von KAPATI V A

8. Feb. 2022

nice

von Suman M

26. Jan. 2022

good

von SURESH y

13. Jan. 2022

good

von PRIYANSHU S

9. Nov. 2021

good

von Shivam M

4. Nov. 2021

good

von Akhil r p

30. Okt. 2021

nicd

von karra A

28. Okt. 2021

Good

von SYED A A

4. Okt. 2021

GOOD

von Andres c f g

12. Aug. 2021

good

von Pedro A C

4. Mai 2021

bala

von MD M H

4. Nov. 2020

Nice

von ISHAN M

30. Okt. 2020

Good