Course Detail
Machine Learning
By the end of this course, you’ll be able to effectively use machine learning to build predictive models, analyze complex datasets, and derive actionable insights that drive business value.
Course Outline
1. Getting Started
Introduce learners to Machine Learning.
- What is Machine Learning (7 min)
2. Linear Regression
Learn about linear regression for single and multiple variables.
- Linear regression Single Variable (16 min)
- Linear Regression Multiple Variables (15 min)
Ratings & Comments
Learners who have started this course can rate it and leave feedback. Creator responses appear below each published review.
Create an account and start the course before leaving a review.
Left a rating without a written comment.
Related Courses
Continue with similar topics after this course.
Mixed
AI fundamentals
The AI Essentials course serves as a foundational roadmap for anyone looking to understand the mechanics and impact of artificial intelligence without needing a degree in advanced mathematics. It typically begins by demystifying what AI actually is, stripping away the sci-fi tropes to explain how machines "learn" through data patterns and algorithms. You’ll explore the difference between Narrow AI, which handles specific tasks like your Netflix recommendations, and General AI, the theoretical future where machines could perform any intellectual task a human can. The core of the curriculum u