🎓 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 Pneumonia Detection Project | Pneumonia Detection Project with Flask App using Deep Learning by Mahesh Huddar Download Final Year Projects: https://vtupulse.com/download-final-year-projects/ Follow the link: https://vtupulse.com/product/pneumonia-detection-from-chest-x-ray-with-flask-app-deep-learning-project/ to download the Source Code, Project Report, Project PPT, Instructions to install the necessary Software and Libraries, Step-by-step instructions to execute the project. Pneumonia infection is caused by a bacterium in the lungs’ alveoli. When tissue of the lung is infected by a bacterium, it builds up pus in it. To determine if the patient has Pneumonia, professionals perform bodily exams and diagnose their patients through Chest X-rays. Aim: To provide an efficient and effective solution for detecting pneumonia disease using Deep learning. Objectives: To learn different biomedical terms related to pneumonia disease. To build a deep learning model to detect whether a person is infected by Pneumonia. To build a web application to analyze Pneumonia disease using chest X-ray. 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: ______________________________ Pneumonia Detection Project, Pneumonia Prediction Project, Pneumonia Detection Project from X-rays, Pneumonia prediction Project from X-rays, Pneumonia Detection Project using CNN, Pneumonia Detection Project using deep learning, Pneumonia Detection Project using machine learning, Pneumonia Detection Project Flask APP, Pneumonia Detection Project using CNN Flask App, final year project, final year machine learning project, final year deep learning project, machine learning projects with source code, final year project with source code, final year project 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