Complete XGBoost Guide
Data Science & AI Machine Learning

Complete XGBoost Guide

Go from fundamentals to job-ready XGBoost skills

By Varun Shetty 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of XGBoost and how they fit together
  • Build hands-on projects using XGBoost that you can add to your portfolio
  • Apply XGBoost to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common XGBoost mistakes
  • Gain the confidence to use XGBoost at work and in interviews

Skills you'll gain

XGBoost Practical Projects Debugging Best Practices Problem Solving Machine Learning

About this course

This course is a hands-on, project-driven introduction to XGBoost, part of our Data Science & AI track. Designed for learners in India and beyond, every concept is taught with practical examples and exercises you can add to your portfolio. Taught by Varun Shetty, it starts from the fundamentals and builds toward real-world, job-ready skills in Machine Learning. By the end you'll have the confidence to apply XGBoost at work, in interviews, and on Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 13:00 ▶ Free preview
  • XGBoost in 10 minutes video · 14:00 ▶ Free preview
  • Your first XGBoost walkthrough video · 15:00
  • Hands-on exercise video · 16:00

Core Concepts

  • Common patterns in practice video · 08:00
  • Building the project — part 1 video · 09:00
  • Debugging and troubleshooting video · 10:00
  • Performance and optimisation video · 11:00
  • Testing your work video · 12:00

Hands-On Practice

  • Performance and optimisation video · 15:00
  • Testing your work video · 16:00
  • Welcome and what you'll build video · 17:00

Building Real Projects

  • Welcome and what you'll build video · 10:00
  • XGBoost in 10 minutes video · 11:00
  • Your first XGBoost walkthrough video · 12:00
  • Hands-on exercise video · 13:00

Going Deeper

  • Common patterns in practice video · 17:00
  • Building the project — part 1 video · 06:00
  • Debugging and troubleshooting video · 07:00
  • Performance and optimisation video · 08:00
  • Testing your work video · 09:00