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In this video, we dive deep into the concept of Decision Trees, an essential machine learning algorithm used for classification and regression tasks. We begin by breaking down the key terminologies and understanding how the decision tree splits data to make predictions. We then discuss how the ""best split"" is determined, the mechanics of building a decision tree, and the advantages and disadvantages of using this algorithm. Finally, we highlight some real-world applications where decision trees are leveraged. Whether you're a beginner or looking to refine your understanding of decision trees, this video covers it all with clear explanations and engaging examples.
00:01:04 What is Decision Tree Algorithm?
00:07:48 Key Terminologies in Decision Trees
00:09:25 How Does a Decision Tree Work?
00:10:50 Measuring the “Best Split""
00:16:50 Prediction with a Decision Tree
00:18:15 Building a Decision Tree
00:20:36 Advantages and Disadvantages
00:21:50 Real-World Application Concept
The Decision Tree Algorithm is a powerful and intuitive model used in machine learning for classification and regression. It works by splitting data at different decision nodes based on feature values, ultimately leading to a prediction at the leaves of the tree. Key concepts like ""best split"" and how decision trees evaluate these splits will be explored. Additionally, we’ll look at the advantages such as interpretability and the simplicity of the model, as well as disadvantages like overfitting and instability. This topic is essential for anyone looking to understand one of the most commonly used machine learning algorithms in data science.
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#DecisionTree #generativeAI #AI #GenAI #ArtificialIntelligence #simplilearn #2026
➡️ About the Professional Certificate Program in Generative AI and Machine Learning
Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.
Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics
Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass
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