Machine Learning Full Course 2026 | Machine Learning Tutorial | Machine Learning | Simplilearn

🔥Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-ma...
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-prof...
️🔥 Professional Certificate in AI and Machine Learning, delivered by Simplilearn in collaboration with Purdue University - https://www.simplilearn.com/pgp-ai-ma...
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-gene...

This Machine Learning Full Course 2026 by Simplilearn, we begin with the foundations of probability, statistics, and mathematics for machine learning. You’ll then explore what machine learning is, followed by a complete roadmap to becoming a machine learning professional in 2026. The course covers ML basics, key algorithms, and tutorials on Recurrent Neural Networks (RNNs) and K-Nearest Neighbors (KNN). We’ll also dive into practical tools like the confusion matrix for evaluation and a real-world project on fake news detection. Finally, the course concludes with common machine learning interview questions to help you prepare for career opportunities.

Following are the topics covered in the Machine Learning Full Course 2026:

00:00:00 - Introduction to Machine Learning Full Course 2026
00:02:04 - Probablity and Statistics
00:48:23 - Mathemaics for machine learning
02:38:47 - What is Machine Learning
02:47:26 - Machine Learning Roadmap in 2026
02:59:52 - Machine learning Basics
04:01:52 - Machine Learning Algorithms
04:58:24 - RNN Tutorial
06:15:09 - KNN Tutorial
06:46:53 - Confusion Matrix Machine Learning
07:05:04 - Fake news detection using Machine Learning
07:51:08 - Machine Learning Interview Questions

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

#MachineLearningCourse #MachineLearningFullCourse #MachineLearningWithPython #MachineLearningWithPythonFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #MachineLearningTraining #Simplilearn #2026

➡️ About Professional Certificate in AI and Machine Learning

Build expertise in AI, ML, and Generative AI with hands-on Python, Deep Learning, and Agentic Frameworks training. Gain real-world experience through projects and develop high-demand skills like AI automation, LLM proficiency, and machine learning. Stay ahead in the AI revolution and future-proof your career—start your journey today!

Key Features
✅ Earn a program completion certificate from Simplilearn in collaboration with Purdue University
✅ Live-online masterclasses delivered by Industry Expert and staff and IBM experts
✅ Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
✅ Core curriculum delivered in live classes by industry experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Practical exposure to ChatGPT, LLM-based AI solutions, and other AI applications.
✅ 3 capstones and 15+ hands-on projects from various industry domains.
✅ Become eligible for Become eligible for the Purdue University Alumni Association membership.
✅ Exclusive hackathons and Ask Me Anything sessions by IBM

Learning Path
✅ PC AIML - Program Induction
✅ PC AIML: Programming Refresher
✅ PC AIML - Applied Data Science with Python
✅ PC AIML - Machine Learning
✅ PC AIML - Deep Learning Specialization
✅ PC AIML - Generative AI Literacy
✅ PC AIML - Generative AI Essentials by IBM
✅ PC AIML - Foundation Models and Generative AI Platforms by IBM
✅ PC AIML Capstone
Electives:
✅ Academic Masterclass
✅ Industry Masterclass by IBM
✅ PC AIML - NLP and Speech Recognition
✅ PC AIML - Advanced Generative AI
✅ PC AIML - Prompt Engineering Essentials by IBM
✅ PC AIML - Agentic AI Masterclass

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Conversational AI
✅ Large Language Models
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Speech Recognition
✅ Machine Learning Algorithms
✅ Agentic Frameworks

👉 Learn More At: https://www.simplilearn.com/pgp-ai-ma...