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Foundations of Machine Learning
This course is part of Fractal Data Science Professional Certificate.
Course Cost
Free course
Beginner
Skill Level
22 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 Fractal Data Science Professional Certificate 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
Build and evaluate machine learning models
Apply appropriate metrics for model assessment
Develop regression and tree-based models
Implement unsupervised learning techniques
Solve real-world business problems using ML
Skills you'll gain
This course includes:
6 Hours PreRecorded video
12 assignments
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.
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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 6 modules in this course
This comprehensive course covers fundamental machine learning concepts and techniques. Students learn supervised and unsupervised learning approaches, model evaluation methods, and practical applications through real-world business cases. The curriculum includes hands-on implementation of various algorithms including KNN, regression, decision trees, and clustering.
Introduction to Machine Learning
Module 1 · 2 Hours to complete
Building Your First Machine Learning (ML) Model for Synergix Solutions
Module 2 · 4 Hours to complete
Evaluating Prediction Models
Module 3 · 3 Hours to complete
Linear and Logistic Regression
Module 4 · 5 Hours to complete
Decision Trees for Synergix Solution
Module 5 · 4 Hours to complete
Introduction to Unsupervised Learning
Module 6 · 4 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: Fractal Data Science Professional Certificate
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Faculties
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Frequently asked Questions
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