Machine Learning Full Course Free | Complete Machine Learning Course 2026 | Intellipaat

Intellipaat · Beginner ·📐 ML Fundamentals ·2w ago

Key Takeaways

Covers machine learning algorithms, linear regression, and logistic regression from scratch

Original Description

🔥Enroll for Machine Learning Course: https://intellipaat.com/machine-learning-certification-training-course/ 🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97 🚀 Master Machine Learning from scratch with this complete Machine Learning course covering the ML Roadmap, Machine Learning Algorithms, Types of Machine Learning, Linear Regression, Logistic Regression, Decision Trees, Multicollinearity, Variance Inflation Factor (VIF), Performance Metrics, and the end-to-end Machine Learning Process. Learn essential Data Science concepts with practical hands-on implementation and real-world examples. 📊 Whether you're a beginner, student, aspiring Data Scientist, or Machine Learning Engineer, this course will help you build a strong foundation in Python, Supervised Learning, Regression, Classification, Model Evaluation, and Predictive Analytics. Gain job-ready Machine Learning skills and accelerate your AI and Data Science career in 2026. 📖 Below are the concepts covered in the video "Machine Learning Full Course": 00:00:00 - Introduction 00:01:37 - ML Roadmap 00:11:44 - What is Machine Learning? 00:44:00 - Machine Learning Algorithms 01:14:25 - Types of Machine Learning Error Concept 03:27:29 - Assumptions of Linear Regression 03:47:06 - Variance Inflation Factor (VIF) 03:52:42 - Linear Regression Hands-on 04:16:34 - Machine Learning Process 05:04:16 - Performance Metrics Used in Regression 05:19:47 - Checking VIF Score for Multicollinearity 05:40:58 - Logistic Regression Algorithm 09:02:48 - Machine Learning Process 09:44:51 - Decision Tree Classifier #machinelearning #machinelearningcourse #machinelearningforbeginners #machinelearningfundamentals #intellipaat ➡️ About the Course: This Machine Learning Certification Training by Intellipaat is a comprehensive program designed to help you learn ML from scratch and become industry-ready. The course covers Machine Learning fundamentals, algorithms, deep learning, NLP, and real-wor
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Chapters (14)

Introduction
1:37 ML Roadmap
11:44 What is Machine Learning?
44:00 Machine Learning Algorithms
1:14:25 Types of Machine Learning Error Concept
3:27:29 Assumptions of Linear Regression
3:47:06 Variance Inflation Factor (VIF)
3:52:42 Linear Regression Hands-on
4:16:34 Machine Learning Process
5:04:16 Performance Metrics Used in Regression
5:19:47 Checking VIF Score for Multicollinearity
5:40:58 Logistic Regression Algorithm
9:02:48 Machine Learning Process
9:44:51 Decision Tree Classifier
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