Chevron Left
Volver a Applied Machine Learning in Python

Opiniones y comentarios de aprendices correspondientes a Applied Machine Learning in Python por parte de Universidad de Míchigan

4.6
estrellas
8,088 calificaciones

Acerca del Curso

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....

Principales reseñas

AS

26 de nov. de 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 de sep. de 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

Filtrar por:

226 - 250 de 1,476 revisiones para Applied Machine Learning in Python

por Manikant R

9 de may. de 2020

por Andrew

11 de mar. de 2019

por Lina J

25 de ene. de 2021

por Michael L

17 de jun. de 2017

por anurag s

29 de jun. de 2017

por Shreyas M T

22 de sep. de 2018

por atul s

21 de may. de 2020

por Daniel N

10 de jul. de 2017

por Mohamed H

26 de jun. de 2018

por Dennis W

7 de jun. de 2020

por Ashish C

29 de nov. de 2019

por MARKANTI B S

14 de ago. de 2020

por Pablo S C S

25 de ago. de 2019

por Abhay S

4 de feb. de 2021

por Prateek D

19 de oct. de 2021

por Piotr K

29 de nov. de 2017

por Edwin V

17 de jun. de 2020

por Limber

3 de dic. de 2017

por Ayush D

30 de may. de 2020

por Leonid I

1 de oct. de 2018

por Andres M L

8 de dic. de 2020

por Vibhore G

9 de feb. de 2018

por Eunis N

20 de may. de 2020

por Yingkai

14 de feb. de 2019

por Tsuyoshi N

13 de oct. de 2018