Train a Supervised Machine Learning Model
- Offered byOpenClassrooms
Train a Supervised Machine Learning Model at OpenClassrooms Overview
Train a Supervised Machine Learning Model
at OpenClassrooms
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Train a Supervised Machine Learning Model at OpenClassrooms Highlights
Train a Supervised Machine Learning Model
at OpenClassrooms
- Earn a certificate of completion from Openclassroom
Train a Supervised Machine Learning Model at OpenClassrooms Course details
Train a Supervised Machine Learning Model
at OpenClassrooms
Skills you will learn
What are the course deliverables?
- Learning objectives
- By the end of this course, you will be able to:
- Explain the process of training a model
- Prepare data with feature engineering techniques
- Build a supervised learning model to address a classification task
- Build a supervised learning model to address a regression task
More about this course
- In this course, we will introduce you to the concepts and methods used in supervised learning
- You will learn how to build models to make predictions using data
- We will look at two classification algorithms: decision trees and logistic regression
- We will also look at two regression algorithms: linear regression and k-nearest neighbors
- We will take a detailed look at how to apply these techniques in practice using Python code You will also learn how to clean and prepare your data
- By the end of this course, you will be able to build machine learning models to make predictions using your own data
Train a Supervised Machine Learning Model at OpenClassrooms Curriculum
Train a Supervised Machine Learning Model
at OpenClassrooms
Part #1 - Understand the Process of Training a Model
Part #2 - Prepare Your Data With Feature Engineering
Part #3 - Build a Classification Model
Part #4 - Build a Regression Model
Train a Supervised Machine Learning Model at OpenClassrooms Faculty details
Train a Supervised Machine Learning Model
at OpenClassrooms
Llewelyn Fernandes
Designation : Founder of Think Create Learn (@tcreatelearn), helping young people and career changers build skills in data, AI, robotics, and programming.
Train a Supervised Machine Learning Model at OpenClassrooms Entry Requirements
Train a Supervised Machine Learning Model
at OpenClassrooms
Eligibility criteria
- Prerequisites A solid grounding in Python. If you are unfamiliar with this programming language, we highly encourage you to take the following courses: Learn Python Basics for Data Analysis and Use Python Libraries for Data Science . A solid understanding of basic one and two-dimensional descriptive statistics, in particular: The basic terminology used in statistics Measures of central tendency Measures of spread Correlations
Conditional Offer
- Not mentioned
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