Advanced Machine Learning Methods And Techniques
Published 3/2025
Created by Henrik Johansson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 18 Lectures ( 11h 15m ) | Size: 4.86 GB
Learn Advanced Machine Learning Methods and Techniques for Data Analysis, Data Science, and Machine Learning
What you'll learn
Knowledge about Advanced Machine Learning methods, techniques, theory, best practices, and tasks
Deep hands-on knowledge of Advanced Machine Learning and know how to handle Machine Learning tasks with confidence
Advanced ensemble models such as the XGBoost models for prediction and classification
Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning
Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries
Advanced knowledge of A.I. prediction/classification models and automatic model creation
Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
And much more.
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 costless software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included
Description
Welcome to the course Advanced Machine Learning Methods and Techniques!Machine Learning is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Machine Learning Methods and Techniques to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a useful selection of Advanced Machine Learning methods and techniques, which will give you an excellent foundation for Machine Learning jobs and studies. This course has exclusive content that will teach you many new things about Machine Learning methods and techniques.This is a two-in-one master class video course which will teach you to advanced Regression, Prediction, and Classification.You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you 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 Decision tree classifier ensembles such as the XGBoost Classifier model.You will learnKnowledge about Advanced Machine Learning methods, techniques, theory, best practices, and tasksDeep hands-on knowledge of Advanced Machine Learning and know how to handle Machine Learning tasks with confidenceAdvanced ensemble models such as the XGBoost models for prediction and classificationDetailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised LearningHands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction/classification models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeAnd much more.This course includesan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Machine Learning or coding taska large collection of unique content, and this course will teach you many new things that only can be learned from this course on UdemyA compact course structure built on a proven and professional framework for learning.This course is an excellent way to learn advanced Regression, Prediction, and Classification! These are the most important and useful tools for modeling, AI, and forecasting.Is this course for you?This course is an excellent choice forAnyone who wants to learn Advanced Machine Learning Methods and TechniquesAnyone who wants to study at the University level and want to learn Advanced Machine Learning skills that they will have use for in their entire career!This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn Advanced Regression, Prediction, and classification.Course requirementsThe four ways of counting (+-*/)Some Experience with Data Science, Data Analysis, or Machine LearningPython and preferably Pandas knowledgeEveryday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 10+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
Who this course is for
Anyone who wants to learn Advanced Machine Learning Methods and Techniques
Anyone who wants to study at the University level and want to learn Advanced Machine Learning skills that they will have use for in their entire career!
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