Powered by
Completion
CERTIFICATE
Introduction to Machine Learning with Python
This course is part of Python: From Basics to Real-World Applications.
Course Cost
Free course
Beginner
Skill Level
12 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Python: A Guided Journey from Introduction to Application Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
What you'll learn
Apply Python programming to machine learning tasks
Implement supervised and unsupervised learning models
Create deep learning and neural network solutions
Process and analyze image data effectively
Develop generative adversarial networks
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course introduces machine learning concepts using Python programming. Students learn about supervised and unsupervised learning algorithms, including perceptrons, linear regression, k-nearest neighbors, and support vector machines. The curriculum covers advanced topics like deep learning, image processing, and generative adversarial networks (GANs). Practical implementation focuses on creating and training machine learning models for real-world applications.
Course Introduction
Module 1 · 11 Minutes to complete
Introduction to Machine Learning
Module 2 · 4 Hours to complete
More Supervised Learning Algorithms
Module 3 · 4 Hours to complete
Advanced Machine Learning Topics
Module 4 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Python: From Basics to Real-World Applications
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4,435
Students
4
Courses
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.