Logistic Regression with Python - Beginner To Advanced Level
Data science, machine learning, and artificial intelligence in Python for students and professionals
Development,Data Science,Deep Learning,Python
Lectures -61
Resources -5
Duration -8.5 hours
30-days Money-Back Guarantee
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
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
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to the Course
4 Lectures
- Intro of, course instructor and AI sciences 03:38 03:38
- Motivation for course 09:43 09:43
- Course overview 05:22 05:22
- Past, present and future of ML 07:17 07:17
Introduction to Machine Learning
14 Lectures
Introduction to Python
18 Lectures
Logistic Regression
25 Lectures
Instructor Details
AISciences
eCourse Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
with the Best
Related Video Courses
View MoreAnnual Membership
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Subscribe nowOnline Certifications
Master prominent technologies at full length and become a valued certified professional.
Explore Now