subangkar / machine-learning-cse-472-buet

Decision tree, Adaboost, KNN, Naive bayes, PCA, EM algorithm assignments of Machine Learning Sessional Course CSE 472 in Level-4, Term-2 of CSE, BUET

Machine-Learning-Sessional-CSE-472-BUET

This repo contains LAB assignments and contents of Machine Learning Sessional course, CSE 472 in Level-4, Term-2 of January-2020 session of CSE, BUET

Course Contents:

• Binary Classification - Assignment 1:
  • Decision Tree
  • AdaBoost
    • Telco customer dataset
    • Adult dataset
    • Credit Card dataset
• Text Classification - Assignment 2:
  • k Nearest Neighbor (KNN)
  • Naive Bayes
    • Stack Exchange Question & Answer dataset
• Dimentionality Reduction & Clustering - Assignment 3:
  • Principal Component Analysis (PCA)
  • Expectation Maximization Algorithm (EM)
    • 10-D coordinate dataset
• Deep Learning Project:
  • Speech captioning from Image
    • Single line Image Captioning using Attention
      • Flickr8k Image Captioning Dataset
    • Text to Speech Generation using Pre-trained Tacotron 2