Free Download Machine Learning Zero to Mastery | Maths & Hands-On Coding
Published 8/2026
Created by Pakiza Saif
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 10h 20m ) | Size: 3.5 GB
Understand the Math and Intuition Behind ML Algorithms and Implement Them from Scratch Using Python
What you'll learn
Build a strong foundation in Machine Learning concepts, mathematics, and algorithms from beginner to advanced level. Implement Machine Learning algorithms from scratch using Python and understand the mathematics behind how they work. Apply supervised and unsupervised Machine Learning techniques to real-world datasets and solve practical problems. Analyze datasets, preprocess features, handle missing data, and select appropriate techniques for building effective ML models. Understand the intuition, mathematical formulation, and practical implementation of important Machine Learning algorithms. Train, evaluate, and optimize Machine Learning models using appropriate performance metrics and validation techniques.Requirements
No prior Machine Learning experience is required. Basic Python programming knowledge is recommended. Basic mathematics and statistics knowledge will be helpful, but the required concepts will be explained throughout the course. A computer with Python and Jupyter Notebook is required for hands-on practice.Description
Welcome to Machine Learning: Zero to Mastery | Math, Theory & Hands-On Coding!
This is a comprehensive, step-by-step Machine Learning course designed to take you from thefundamentals of Machine Learning to advanced concepts through a combination of intuition, mathematics, theory, and hands-on Python implementation.
Unlike courses that only teach you how to use Machine Learning libraries, this course focuses on helping you understandwhat is happening behind the algorithms and why they work.
Throughout the course, we will follow a practical learning approach
Problem Statement → Intuition → Mathematical Formulation → Theory → Python Implementation → Model Evaluation
You will learn how Machine Learning algorithms work internally and how to apply them to practical problems using Python.
What you will learn
Understand the fundamental concepts and terminology of Machine Learning Learn the different types of Machine Learning and when to use them Understand theMachine Learning Development Life Cycle Learn the mathematical foundations required for Machine Learning Explore the intuition and theory behind important ML algorithms Implement Machine Learning techniques usingPython Work with real-world datasets and perform data preprocessing Handle missing values and prepare data for Machine Learning Perform feature engineering and feature transformation Train and evaluate Machine Learning models Understand model performance and appropriate evaluation techniques Learn how to improve and optimize Machine Learning models Work throughend-to-end Machine Learning projects Develop the ability to understand an ML problem and select an appropriate solutionA different approach to learning Machine Learning
The goal of this course is not simply to memorize algorithms or learn a collection of Python commands.
Instead, you will learnwhy an algorithm works, how it is mathematically formulated, and how that formulation can be translated into Python code.
We will gradually build your knowledge from the basics and then move toward more advanced concepts, allowing you to develop a strong conceptual and practical foundation.
Whether you are a beginner, student, Python programmer, aspiring Data Scientist, or someone preparing to move into Machine Learning, this course is designed to give you a structured path toward mastering Machine Learning.
If you are ready to go beyond simply using Machine Learning algorithms and actually understand them, this course is for you.
Who this course is for
Beginners who want to learn Machine Learning from the fundamentals to advanced concepts with a structured, step-by-step approach. Python programmers and software developers who want to develop practical Machine Learning skills and build ML models. Students and graduates in Computer Science, Data Science, Software Engineering, or related fields who want to strengthen their Machine Learning knowledge. Aspiring Data Scientists and Machine Learning Engineers who want to understand the mathematics, intuition, theory, and practical implementation behind ML algorithms. Learners who want to understand not only how to use Machine Learning algorithms, but also the intuition and mathematics behind them and how to implement them in Python. Anyone with basic Python knowledge who wants to build a strong foundation in Machine Learning and progress toward advanced topics.Homepage
Code:
https://www.udemy.com/course/machine-learning-zero-to-mastery-maths-hands-on-coding
View hidden content is available for registered users!
No Password - Links are Interchangeable
