Byte-Sized ML Basic Series: Linear Regression Model
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data. We’ll take you through various classification algorithms, various ways to measure a model’s performance, and how to use a trained model.
Course Code/Duration:
BDT179 / 90 minutes.
Learning Objectives:
You will learn:
- Learn the intuition about linear regression algorithms in machine learning for univariate and multivariate data.
- Understand when to use a regression model and why linear regression is almost always wrong yet useful.
- Understand what linear regression learns.
- Look at different metrics involved in measuring the performance of the linear regression model.
- No prior technical knowledge.
- This session is for learners who would like to become familiar with the machine learning process.
- This session is for learners who would like to become familiar with the machine learning process.
Course Outline:
- The Machine Learning Process
- Classification Algorithms
- Measuring a Model’s Performance
- Using a Trained Model
- Linear Regression Algorithms in Machine Learning.
- Metrics for Measuring the Performance of the Linear Regression Model.
Training Material Provided: Yes (Digital format)
The curriculum is empty
[INSERT_ELEMENTOR id="19900"]
