Overview

Machine Learning – Regression

Machine Learning plays a pivotal role in predictive analytics, and regression is a fundamental technique within the field. This two-day course is designed for beginners and focuses on teaching the core concepts and practical application of regression algorithms. Participants will learn how to build, evaluate, and interpret regression models, making it an ideal starting point for a data science journey.

Skills Covered

By the end of this course, participants will:

  • Understand the concept of regression and its importance in machine learning.
  • Be proficient in both linear and nonlinear regression techniques.
  • Gain practical experience in data preprocessing and feature engineering for regression.
  • Be able to evaluate and interpret regression models using relevant metrics.
  • Develop the skills to apply regression to real-world problems.
  • Feel confident to continue exploring more advanced machine learning techniques.

Who Should Attend

  • Beginner level courses for aspiring Data Scientist.
  • Anyone who is interested in data science.

Course Curriculum

Prerequisites

There are no prerequisites required to attend this course.

Download Syllabus

Course Modules