Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, we will learn how to build and train classifier models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means.
Scikit-Learn For Machine Learning Classification Problems
Scikit-Learn For Machine Learning Classification Problems
Instructor: Ryan Ahmed
Access provided by Département d'informatique, Université de Batna 2
2,867 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.5
(17 reviews)
Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Evaluate several trained classification models performance using various Key Performance Indicators (KPIs)
Understand the theory and intuition behind XG-Boost classifier model
Train machine learning classifier models using Scikit-Learn library
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the Problem Statement
Import Libraries and Datasets
Practice Opportunity #1 [Optional]
Perform Exploratory Data Analysis
Create Training and Testing Datasets
XG-Boost Algorithm Overview
Train an XG-Boost Algorithm Using Scikit-Learn
Evaluate Trained Model Performance
Practice Opportunity #2 [Optional]
Final Capstone Project
10 project images
Instructor
38 Courses109,899 learners
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.5
17 reviews
- 5 stars
76.47%
- 4 stars
11.76%
- 3 stars
5.88%
- 2 stars
0%
- 1 star
5.88%
Showing 3 of 17
PK
4
Reviewed on Nov 11, 2022
Good. Instructor have explained it quite nicely in limited time.
You might also like
LearnQuest
University of Michigan
