Deep Learning Prerequisites: Logistic Regression in Python

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Udemy

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What is the course about?

Deep Learning Prerequisites: Logistic Regression in Python

The course Deep Learning Prerequisites: Logistic Regression in Python is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Data science techniques for professionals and students – learn the theory behind logistic regression and code in Python

Course description

Deep Learning Prerequisites: Logistic Regression in Python

program logistic regression from scratch in Python
describe how logistic regression is useful in data science
derive the error and update rule for logistic regression
understand how logistic regression works as an analogy for the biological neuron
use logistic regression to solve real-world business problems like predicting user actions from e-commerce data and facial expression recognition

Derivatives, matrix arithmetic, probability
You should know some basic Python coding with the Numpy Stack

6 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
Lazy Programmer Inc.

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Prerequisites & Facts

Deep Learning Prerequisites: Logistic Regression in Python

Course Topic

Data Science, Deep Learning, Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Deep Learning Prerequisites: Logistic Regression in Python

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

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Deep Learning Prerequisites: Logistic Regression in Python

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