🎓 Complete Machine Learning Playlist | Algorithms & Solved Examples Welcome to the Ultimate Machine Learning Playlist – a detailed collection of tutorials covering a wide range of algorithms with step-by-step solved numerical examples. Whether you're a student, a beginner, or preparing for interviews, this playlist will help you master both the concepts and practical applications. --- 📘 Algorithms & Topics Covered: 🔸 Supervised Learning 📌 Decision Trees (ID3, Gini Index, C4.5, CART, Boolean Function Trees) 📌 Naive Bayes Classifier (Laplace Correction, Text Classification) 📌 K-Nearest Neighbors (KNN with various distance metrics) 📌 Linear & Logistic Regression (Simple, Multiple, Matrix Form) 📌 Support Vector Machines (SVM, Linear/Non-Linear, Kernel Methods) 📌 Neural Networks (Perceptron, Backpropagation, MLP, RBF, Activation Functions) 🔸 Unsupervised Learning 📊 K-Means Clustering (Standard, K-Means++, Bisecting K-Means) 📊 K-Medoids Clustering 📊 Hierarchical Clustering (Single, Average, Complete Linkage) 📊 DBSCAN, EM Algorithm, DIANA Clustering 📊 Dimensionality Reduction (PCA, SVD, KL Transform) 🔸 Ensemble & Advanced Methods 🌲 Random Forest 💡 Genetic Algorithms (Selection, Crossover, Mutation) 🔍 Bayesian Belief Networks 📈 Gradient Descent (Batch, Stochastic, Delta Rule) 🧪 Feature Selection (Wrapper, Filter, Embedded) 🔸 Other Key Concepts 🧠 Overfitting & Regularization (Lasso, Ridge, Elastic Net) 🎯 ROC Curve, Confusion Matrix, Accuracy, Precision, Recall, F1 Score 🔁 Distance Measures (Euclidean, Manhattan, Minkowski, Cosine, Hamming) 📊 Outlier Detection (IQR, Z-Score, SMOTE, NearMiss, Tomek Links) 🧾 Association Rules (Apriori, ECLAT) 🧮 Case-Based Reasoning, Candidate Elimination, Find-S 💬 TF-IDF, Sentiment Analysis, One-Hot Encoding --- 📝 Why this playlist? * Covers syllabus-relevant content for B.E., M.Tech, and competitive exams * Focused on conceptual clarity and hands-on problem solving * Great for quick revisions or full-length study 🔔 Subscribe and turn on notifications to stay updated!
Curated by: Mahesh Huddar (337 videos)
ID3 Algorithm to Build Decision Tree Buys Computer Solved Example in Machine Learning Mahesh Huddar Web Notes / Blog: https://www.vtupulse.com/machine-learning/id3-algorithm-decision-tree-solved-example/ Decision Tree ID3 Algorithm Solved Example - 1: https://www.youtube.com/watch?v=gn85J4U4pbw Decision Tree ID3 Algorithm Solved Example - 2: https://www.youtube.com/watch?v=JO2wiZif2OM Decision Tree ID3 Algorithm Solved Example - 3: https://www.youtube.com/watch?v=2A8AGfxs0D8 Decision Tree ID3 Algorithm Solved Example - 4: https://youtu.be/KjkE0aB29FM Decision Tree for Boolean Functions: 1. https://www.youtube.com/watch?v=fs0wsU2sSPQ 2. https://www.youtube.com/watch?v=gn85J4U4pbw Decision Tree Appropriate Problems: https://www.youtube.com/watch?v=QLqlS7s53P4 How to find Information Gain and Entropy: https://www.youtube.com/watch?v=y6VwIcZAUkI https://www.youtube.com/watch?v=F00X97p5DfI https://www.youtube.com/watch?v=dDQ7ju8BI7o Issues in Decision Tree Learning: https://www.youtube.com/watch?v=3ZAyNV-LfuY How to handle continuous-valued attributes: https://www.youtube.com/watch?v=2vIvM4zmyf4 How to find information Gain and Gini Index https://www.youtube.com/watch?v=wefc_36d5mU Inductive Bias in ID3 Algorithm: https://www.youtube.com/watch?v=SVwFJZeWdtg The following concepts are discussed: ______________________________ decision tree and decision tree analysis, id3 algorithm decision tree, ID3 solved the example, decision tree solved example, decision tree machine learning, how to build a decision tree, how to draw a decision tree, construct a decision tree, decision tree using ID3, decision tree in data mining, id3 algorithm example, decision tree problem, decision tree algorithm in python, decision tree problem in big data analytics ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates