Understand & Implement Machine Learning Algorithms in Python using Sci-Kit Learn and Scratch.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand the working of Simple Linear Regression
Understand the working Multiple Linear Regression
Understand the mathematics of Simple and Multiple Linear Regression.
Implement Simple and Multiple Linear Regression in Python
Understand the working of Logistic Regression
This comprehensive Complete Guide for Supervised Machine Learning curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Complete Guide for Supervised Machine Learning course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Divyang Goswami
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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