/Artificial-Intelligence

As part of course EC6131D

Primary LanguagePython

Artificial Intelligence

As part of course EC6131D

The following algorithms are given with codes and outputs

Machine Learning and Deep Learning Algorithms

  1. Gradient Descent
  2. KNN(dataset IRIS)
  3. Linear Regression
  4. Logistic Regression
  5. Naive Bayes
  6. KNN(dataset Boston -- KNN not suited for this but was implemented)
  7. Perceptron
  8. SVM
  9. Tree classifier
  10. Backpropagation

Search Algorithms and CSP

  1. Cannibal Missionary
  2. Eight Puzzle
  3. Eight Queens
  4. Map COloring
  5. Different Search Algorithms(BFS, DFS, UCS, Greedy, A*)

Project

  1. Mobilenet and YOLO

All the discussions regarding the code is written in the reports. Please look into the AIReport file for explanation regarding algorithms (1-10) and AI Project for explanation about 16 i.e mobilenet