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

4.6
Sterne
8,013 Bewertungen
1,460 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

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.

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

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1051 - 1075 von 1,451 Bewertungen für Applied Machine Learning in Python

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

von �SADHARAN G

10. Aug. 2020

good

von RAGHUVEER S D

25. Juli 2020

good

von N. S

7. Juli 2020

good

von Arif S

1. Juli 2020

good

von parmar p

18. Mai 2020

nice

von Miriam R

26. Dez. 2019

good

von Light0617

12. Mai 2019

nice

von Shishir N

9. Jan. 2019

N

i

c

e

von Jimut B P

8. Okt. 2018

Nice