Udemy – Machine Learning : Basics to Advanced 2026

This course contains the use of artificial intelligence. Machine Learning: Basics to Advanced (2026) is a complete, structured, and practical course designed to help you master Machine Learning using Python. This course starts from absolute fundamentals and gradually moves toward advanced algorithms and real-world applications. A basic knowledge of Python is required, but no prior Machine Learning experience is needed. This course is designed in a simple and beginner-friendly way so that even students with no background in Machine Learning can understand concepts clearly and confidently apply them in real projects.

Who This Course Is For:

• Students who want to start a career in Machine Learning
• Beginners with basic Python knowledge
• Aspiring Data Scientists and ML Engineers
• Software developers who want to add ML skills
• Anyone preparing for internships, jobs, or interviews in ML

Machine Learning Algorithms Covered

You will learn and implement the following algorithms with hands-on projects:

• Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Logistic Regression
• K-Nearest Neighbors (KNN)
• Support Vector Machine (SVM)
• Naive Bayes
• Decision Tree
• Random Forest
• K-Means Clustering

What You Will Learn:

• Complete Machine Learning workflow
• Data preprocessing, feature engineering, and exploratory data analysis (EDA)
• Model training, testing, validation, and performance evaluation
• How to choose the right algorithm for a given problem

Prerequisites:

• Basic understanding of Python programming
• Willingness to learn mathematics behind ML (explained simply)
• No prior experience in Machine Learning or Data Science required.

Career Outcomes

After completing this course, you will be confident to:

• Build Machine Learning models from scratch
• Crack internships and entry-level ML roles
• Apply ML to real-world business problems
• Move forward toward Advanced AI and Deep Learning.

Disclosure:

This course uses AI-generated images and visual content for better explanation and presentation. The instructor’s own voice, knowledge, and teaching methods are used throughout the course.

DOWNLOAD LINK: Machine Learning : Basics to Advanced 2026

Machine_Learning_Basics_to_Advanced_2026.part1.rar – 1000.0 MB
Machine_Learning_Basics_to_Advanced_2026.part2.rar – 702.2 MB

FILEAXA.COM – is our main file storage service. We host all files there. You can join the FILEAXA.COM premium service to access our all files without any limation and fast download speed.