Electronics and Communication Engineering

Machine Learning
  1. Artificial Neural Network (ANN)
  2. Single Layer Perceptron for Binary Classification
  3. Linear Regression
  4. K-Means Clustering
  5. K-Means Optimization using Elbow and Silhouette Methods
  6. Naive Bayes Classifier
  7. Find-S Algorithm
  8. K-Nearest Neighbors (K-NN) Classifier
  9. Multi-Layer Perceptron (MLP)
  10. Document Classification using Text Data
  11. Hierarchical Clustering
  12. Decision Tree using ID3 Algorithm
  13. Candidate Elimination Algorithm