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: Facial Expression Recognition using CNN Final Year Project Source code Deep Learning Mahesh Huddar

Facial Expression Recognition using CNN Final Year Project Source code Machine LearningDeep Learning by Mahesh Huddar Download Final Year Projects: https://vtupulse.com/download-final-year-projects/ Follow the link: https://vtupulse.com/product/facial-expression-recognition-using-cnn-final-year-project/ to download the Source Code, Project Report, PowerPoint Presentation (PPT), Instructions to install the necessary Software and Libraries, Step-by-step instructions to execute the project. The main objective here is to classify each face based on the emotions shown into seven categories which include Anger, Disgust, Fear, Happiness, Sadness, Surprise, and Neutrality. Download Final Year Projects: https://vtupulse.com/download-final-year-projects/ Final Year Projects: https://www.youtube.com/watch?v=o0PdqzRTy1g&list=PL4gu8xQu0_5ILky1wSEzplFroALOJyKdY The following concepts are discussed: ______________________________ Facial Expression Recognition using CNN, Facial emotion Recognition using CNN, Facial Expression Recognition, Facial emotion Recognition, Facial Expression Recognition using CNN source code, Facial Expression Recognition source code, Facial Expression Recognition using CNN project, Facial Expression Recognition machine learning project, facial expression recognition using python, facial expression recognition project, facial emotion recognition CNN , facial emotion recognition project, facial emotion recognition python, Facial Expression Recognition FLask App, Facial Emotion Recognition Flask App, machine learning projects with source code ******************************** 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


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