Dear Students the Lecture Notes has been uploaded for the following topics:</br>Mixture Models and EM – K-Means Clustering , </br>Mixture Models and EM – K-Means Clustering , </br>Dirichlet Process Mixture Models – Spectral Clustering , </br>Hierarchical Clustering , </br>The Curse of Dimensionality – Dimensionality Reduction , </br>Principal Component Analysis , </br>Latent Variable Models(LVM) , </br>Latent Dirichlet Allocation (LDA) – Case Studies.
Dear Students the Youtube Video has been uploaded for the following topics:</br>Machine Learning</br>Machine Learning Series-2</br>Machine Learning Series3
Assignment topic is Customer Segmentation using K-Means Clustering: A Case Study and due date is 31-10-2024.
Assignment topic is Case Study on Optimizing Classification Accuracy using Random Forest: and due date is 28-10-2024.
Assignment topic is 2.CASE STUDY ON SUPPORT VECTOR MACHINE and due date is 25-10-2024.
Assignment topic is UNIT-2 CASE STUDY ON SUPPORT VECTOR MACHINE and due date is 25-09-2024.
Dear Students the Resource Link has been uploaded for the following topics:</br>UNIT-1</br>UNIT-2</br>UNIT-3</br>Machine Learning Algorithm
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Bayesian Networks, </br>Bayesian linear regression, </br>Markov Random Fields , </br>Naive Bayes Classifiers , </br>Model evaluation
Dear Students the Puzzles has been uploaded for the following topics:</br>supervised learning, </br>Unsupervised learning, </br>Advanced learning, </br>Graphical models
Dear Students the Question Bank has been uploaded for the following topics:</br>Introduction and Types of ML
Dear Students the Puzzles has been uploaded for the following topics:</br>Types of Machine Learning
Assignment topic is UNIT-1 Basic Steps to built ML Model and due date is 09-09-2024.
Dear Students the Youtube Video has been uploaded for the following topics:</br>Case study on Market Basket Analysis</br>Case study on Amazon</br>Case study on Credit Card Fraud Detection
Dear Students the Resource Link has been uploaded for the following topics:</br>UNIT-1
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Basic Concepts in Machine Learning – Machine Learning Process , </br>Testing Machine Learning Algorithm, </br>Types of Machine Learning – Supervised Learning – Unsupervised Learning , </br>Bayesian Linear Regression – Common Regression Algorithms , </br>Common Classification Algorithms – k-Nearest Neighbors , </br>Support Vector Machines – Case Studies., </br>Introduction, </br>A Brief Review of Probability Theory , </br>Linear Models for Regression – Linear Basis Function Models , </br>The Bias-Variance Tradeoff, </br>– Linear Models for Classification – Discriminate Functions , </br>Probabilistic Generative Models – Probabilistic Discriminative Models , </br>Decision Trees – Random Forest model
