Supervised Learning with scikit-learn
Course Report
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Highlights
Pedagogy
Top 20 Percentile
Rating & Reviews
Top 30 Percentile
Parameters
Pedagogy
Acquire all major Machine Learning skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Machine Learning, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Rating & Reviews
This highly acclaimed course is among the top-rated in Machine Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Machine Learning.
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Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Statistical Thinking in Python (Part 1)
What You Will Learn
In this course, you'll learn how to use Python to perform supervised learning, an essential component of machine learning
You'll learn how to build predictive models, tune their parameters, and determine how well they will perform with unseen data—all while using real world datasets
You'll be using scikit-learn, one of the most popular and user-friendly machine learning libraries for Python
Course Instructors
Course Reviews
Average Rating Based on 3 reviews
100%