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
8,094 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

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

AS

26. Nov. 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.

Filtern nach:

176 - 200 von 1,478 Bewertungen für Applied Machine Learning in Python

von Henryk S

28. Dez. 2018

von Leo C

16. Feb. 2018

von Чижов В Б

15. Nov. 2017

von 251_NEELANJAN M

6. Apr. 2020

von Sridhar I

21. Dez. 2017

von Jakob P

2. Sep. 2017

von Youdinghuan C

25. Juni 2017

von Andrew R

24. Dez. 2019

von Roger S

15. Juni 2020

von Rajan G

6. Juli 2020

von Sumit M

19. Feb. 2019

von Abhishek B

2. Mai 2020

von Mark H

1. Feb. 2018

von Bharath

17. Juni 2019

von Kunal c

21. Juni 2017

von XL T

21. Mai 2020

von David H

4. Aug. 2018

von Subham B

11. Juni 2020

von Chrisada S

2. Jan. 2018

von Angadvir S P

24. Feb. 2019

von Sashi B

31. Juli 2017

von Atilio T

20. März 2020

von Tusaddique A A

20. Aug. 2020

von Kristóf U

8. März 2018

von Shahir

3. Nov. 2017