🎓 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)
End to End Heart Disease Prediction with Flask App using Machine Learning by Mahesh Huddar Download Final Year Projects: https://vtupulse.com/download-final-year-projects/ Follow the link: https://vtupulse.com/product/heart-disease-prediction-with-flask-app-using-machine-learning-project/ to download the Source Code, Project Report, Instructions to install the necessary Software and Libraries, Step-by-step instructions to execute the project. Download Final Year Projects: https://vtupulse.com/download-final-year-projects/ Final Year Projects: 1. AI-Driven Sugarcane Leaf Disease Detection: https://youtu.be/o0PdqzRTy1g 2. Heart Attack Risk Prediction: https://youtu.be/grqS2pp86kA 3. Malaria Disease Detection System: https://youtu.be/_2pubt2NKwg 4. Disease Prediction from Symptoms: https://youtu.be/-gQYtEpwDeo 5. Pneumonia Detection using Deep Learning: https://youtu.be/RFZI_GenO_4 6. Gesture and Voice Control Based Virtual Mouse: https://youtu.be/6OrA81OBYpc 7. Facial Expression Recognition: https://youtu.be/gIKm2PvAEhY 8. Plant Leaf Disease Prediction: https://youtu.be/148eu_foNo8 9. Salary Prediction: https://youtu.be/T-qnf5X-YNQ 10. Credit Card Fraud Detection: https://youtu.be/BRaAU2vAG_c 11. Heart Disease Prediction: https://youtu.be/lBHGPrvXTTM According to World Health Organization statistics, cardiovascular disease is the leading cause of death in the world. CVDs were responsible for 32% of all global deaths in 2019, as estimated by the World Health Organization. Heart attacks and strokes were responsible for 85% of these deaths. Low- and middle-income countries account for more than three-quarters of all CVD deaths. We have created a web application and a prediction model based on machine learning, which a patient can use to fill in basic details like age, gender, chest pain types, cholesterol level, etc. Based on that model it can predict heart disease. We have used machine learning algorithms like Logistic Regression, SVM, Decision Tree, Random Forest, and KNN for prediction. The user is also able to print the report for tracking the disease. The following concepts are discussed: ______________________________ heart disease prediction, heart disease prediction app, heart disease prediction machine learning, heart disease prediction Flask app, heart disease prediction python, heart disease prediction model using machine learning, heart disease project, heart disease project file, heart disease detection using machine learning, heart disease detection using machine learning project, heart disease detection using deep learning, heart disease detection using machine learning PPT, heart disease prediction end-to-end project, machine learning projects with source code ******************************** 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