Machine Learning

🎓 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)


Currently Playing: How to find the Entropy and Information Gain in Decision Tree Learning by Mahesh Huddar

How to find the Entropy and Information Gain in Decision Tree Learning by Mahesh Huddar In this video, I will discuss how to find entropy and information gain given a set of training examples in constructing a decision tree. 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 entropy nptel, entropy explained, entropy data mining, entropy data mining example, entropy based discretization example data mining, entropy machine learning, entropy machine learning example, entropy calculation machine learning, entropy in machine learning in hindi, information gain decision tree, gain decision tree, information gain and entropy in the decision tree, information gain, information gain and entropy, information gain feature selection, information gain calculation, information gain and Gini index, information gain and Gini index, information gain for continuous-valued attributes


Tracks in this Playlist