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Logistic Regression with Python - Beginner To Advanced Level

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4.4

Logistic Regression with Python - Beginner To Advanced Level

Data science, machine learning, and artificial intelligence in Python for students and professionals

updated on icon Updated on Apr, 2024

language icon Language - English

person icon AISciences

English [CC]

category icon Development,Data Science,Deep Learning,Python

Lectures -61

Resources -5

Duration -8.5 hours

4.4

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Course Description

This course provides you with many practical examples so that you can really see how deep learning can be used on anything. Throughout the course, we'll do a course project, which will show you how to predict user actions on a website given user data like whether or not that user is on a mobile device, the number of products they viewed, how long they stayed on your site, whether or not they are a returning visitor, and what time of day they visited.

Another project at the end of the course shows you how you can use deep learning for facial expression recognition. Imagine being able to predict someone's emotions just based on a picture!

If you are a programmer and you want to enhance your coding abilities by learning about data science, then this course is for you. If you have a technical or mathematical background, and you want to use your skills to make data-driven decisions and optimize your business using scientific principles, then this course is for you.

This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.

Goals

What will you learn in this course:

  • program logistic regression from scratch in Python

  • describe how logistic regression is useful in data science

  • derive the error and update the 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

  • understand why regularization is used in machine learning

Prerequisites

What are the prerequisites for this course?

  • Derivatives, matrix arithmetic, probability

  • You should know some basic Python coding with the Numpy Stack

Logistic Regression with Python - Beginner To Advanced Level

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to the Course
4 Lectures
  • play icon Intro of, course instructor and AI sciences 03:38 03:38
  • play icon Motivation for course 09:43 09:43
  • play icon Course overview 05:22 05:22
  • play icon Past, present and future of ML 07:17 07:17
Introduction to Machine Learning
14 Lectures
Tutorialspoint
Introduction to Python
18 Lectures
Tutorialspoint
Logistic Regression
25 Lectures
Tutorialspoint

Instructor Details

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