Machine Learning

๐ŸŽ“ Complete Machine Learning Playlist | Algorithms & Solved Examples Welcome to the Ultimate Machine Learning Playlist โ€“ 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. --- ๐Ÿ“˜ Algorithms & Topics Covered: ๐Ÿ”ธ Supervised Learning ๐Ÿ“Œ Decision Trees (ID3, Gini Index, C4.5, CART, Boolean Function Trees) ๐Ÿ“Œ Naive Bayes Classifier (Laplace Correction, Text Classification) ๐Ÿ“Œ K-Nearest Neighbors (KNN with various distance metrics) ๐Ÿ“Œ Linear & Logistic Regression (Simple, Multiple, Matrix Form) ๐Ÿ“Œ Support Vector Machines (SVM, Linear/Non-Linear, Kernel Methods) ๐Ÿ“Œ Neural Networks (Perceptron, Backpropagation, MLP, RBF, Activation Functions) ๐Ÿ”ธ Unsupervised Learning ๐Ÿ“Š K-Means Clustering (Standard, K-Means++, Bisecting K-Means) ๐Ÿ“Š K-Medoids Clustering ๐Ÿ“Š Hierarchical Clustering (Single, Average, Complete Linkage) ๐Ÿ“Š DBSCAN, EM Algorithm, DIANA Clustering ๐Ÿ“Š Dimensionality Reduction (PCA, SVD, KL Transform) ๐Ÿ”ธ Ensemble & Advanced Methods ๐ŸŒฒ Random Forest ๐Ÿ’ก Genetic Algorithms (Selection, Crossover, Mutation) ๐Ÿ” Bayesian Belief Networks ๐Ÿ“ˆ Gradient Descent (Batch, Stochastic, Delta Rule) ๐Ÿงช Feature Selection (Wrapper, Filter, Embedded) ๐Ÿ”ธ Other Key Concepts ๐Ÿง  Overfitting & Regularization (Lasso, Ridge, Elastic Net) ๐ŸŽฏ ROC Curve, Confusion Matrix, Accuracy, Precision, Recall, F1 Score ๐Ÿ” Distance Measures (Euclidean, Manhattan, Minkowski, Cosine, Hamming) ๐Ÿ“Š Outlier Detection (IQR, Z-Score, SMOTE, NearMiss, Tomek Links) ๐Ÿงพ Association Rules (Apriori, ECLAT) ๐Ÿงฎ Case-Based Reasoning, Candidate Elimination, Find-S ๐Ÿ’ฌ TF-IDF, Sentiment Analysis, One-Hot Encoding --- ๐Ÿ“ 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 ๐Ÿ”” Subscribe and turn on notifications to stay updated!

Curated by: Mahesh Huddar (337 videos)


Currently Playing: 10. KNN Algorithm Solved Example Classify Maths=6, CS=8 K=3 Machine Learning by Vidya Mahesh Huddar

10. KNN Algorithm Solved Example Classify Maths=6, CS=8 Using K=3 Machine Learning by Vidya Mahesh Huddar Use KNN algorithm to classify the instance: ๐‘‹= (๐‘€๐‘Ž๐‘กโ„Ž๐‘ =6, ๐ถ๐‘†=8) Into Pass or Fail Given ๐พ=3. for the dataset Training Dataset: Maths CS Result ----- -- ------ 4 3 Fail 6 7 Pass 7 8 Pass 5 5 Fail 8 8 Pass Test Instance: (Maths = 6, CS = 8) K = 3 Objective: Use the K-Nearest Neighbors (KNN) Algorithm to classify the given test instance into either Pass or Fail using Euclidean Distance and Majority Voting. K nearest Neighbor Learning Algorithm 1: https://youtu.be/w6hQ3ES6Kbg K nearest Neighbor Learning Algorithm 2: https://youtu.be/UAIIW3Bs5HE KNN example 1: https://youtu.be/Vk9lGGODaJA KNN example 2: https://youtu.be/HZT0lxD5h6k KNN example 3: https://youtu.be/T0YkfWssHjk KNN example 4: https://youtu.be/kCNpLbCUo7g KNN example 5: https://youtu.be/WgSGdukowNA KNN example 6: https://youtu.be/gCZsLAzHlEM KNN example 7: https://youtu.be/-OqKQS8KAe8 KNN example 8: https://youtu.be/C75Arp5mg6I KNN example 9: https://youtu.be/zkI2i7RSMf4 KNN example 10: https://youtu.be/jsUbTOcV8pU The following concepts are discussed: ______________________________ k nearest neighbors algorithm, knn algorithm, knn algorithm in machine learning, k nearest neighbors,knn classifier, knn classification, knn solved example ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates


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