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AI, Machine Learning & Data ScienceUdemy2025-3 Edition100% Free Video Course

Advanced Machine Learning Methods and Techniques

Advanced Machine Learning Methods and Techniques Course. This course teaches you advanced skills in machine learning, including regression, prediction, and classification. This course teaches you a useful set of advanced machine learning methods and techniques that will give you an excellent foundation for machine learning careers and studies. This course has exclusive content that will teach you a lot of new things about machine learning methods and techniques. This is a two-in-one video masterclass that teaches you advanced regression, prediction, and classification. You will learn advanced regression, regression analysis, prediction, and supervised learning. This course teaches you how to use advanced feedforward neural networks and decision tree regression ensemble models such as the XGBoost regression model. You will learn advanced classification and supervised learning. You will learn to use advanced feedforward neural networks and ensemble decision tree classifiers such as the XGBoost classifier model.

16 Video Lessons
21.3 Hours On-Demand
Created by Henrik Johansson
Uploaded Sep 2026
English
Beginner to advanced
Advanced Machine Learning Methods and Techniques
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Free$129.99100% Free

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Course Features:
21.3 hours on-demand video
16 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Knowledge of machine learning methods, techniques, theory, best practices, and advanced tasks
Deep practical knowledge of advanced machine learning and how to perform machine learning tasks with confidence
Advanced ensemble models such as XGBoost models for prediction and classification
Comprehensive and in-depth knowledge of regression, regression analysis, prediction, classification, and supervised learning
Working knowledge of Scikit-learn, Matplotlib, Seaborn and some other Python libraries
Advanced knowledge of AI prediction/classification models and automated model creation
Cloud Computing: Using Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use cloud computing resources.
And much more…

Course Curriculum16 Lectures

3 sections • 21.3 hours total length

Prefer offline learning? Download all 16 video lectures and project files for free.
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Requirements

  • The four ways of counting (+-*/)
  • Some Experience with Data Science, or Data Analysis, or Machine Learning
  • Python and preferably Pandas knowledge
  • Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
  • Access to a computer with an internet connection
  • The course only uses free software
  • Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 are included

Description

Advanced Machine Learning Methods and Techniques Course. This course teaches you advanced skills in machine learning, including regression, prediction, and classification. This course teaches you a useful set of advanced machine learning methods and techniques that will give you an excellent foundation for machine learning careers and studies. This course has exclusive content that will teach you a lot of new things about machine learning methods and techniques. This is a two-in-one video masterclass that teaches you advanced regression, prediction, and classification. You will learn advanced regression, regression analysis, prediction, and supervised learning. This course teaches you how to use advanced feedforward neural networks and decision tree regression ensemble models such as the XGBoost regression model. You will learn advanced classification and supervised learning. You will learn to use advanced feedforward neural networks and ensemble decision tree classifiers such as the XGBoost classifier model.

Instructor

H

Henrik Johansson

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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