🎓 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)
1. Perceptron Training Rule for Linear Classification Artificial Neural Networks Machine Learning Appropriate Problems for Artificial Neural Networks: https://www.vtupulse.com/machine-learning/appropriate-problems-for-artificial-neural-networks-ann/ Perceptron Training Rule for Linear Classification - https://www.youtube.com/watch?v=du5fyS44DR8 OR GATE Perceptron Training Rule - https://www.youtube.com/watch?v=uxmNDNb0u9A AND GATE Perceptron Training Rule - https://www.youtube.com/watch?v=zmIzNBMsQYQ Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT