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Code of AI Lab of NITR | Course taught by Vijay Bhaskar Semwal

Searching Technique
1. Uniformed Search
  1. BFS
  2. DFS
  3. Iterative Deepning Search
  4. Uniform Cost Search
  5. Hill Climbing
  6. Beam Hill Climbing
2. Informed Serach
  1. Best First Search
  2. A* Search
  3. Tabu Search
  4. Simulated Annealing
  5. Genetic Algorithm
  6. Water Jug Problem using Search Method
Neural Networks
1. Use of Perceptron in AND, OR Classification
2. Use of MLP to classify XOR Gate
3. Use of MLP to do classification in Iris Dataset
Probability
1. Conditional, Marginal Probability
2. Bayes Formulae
3. Bayesian Net
Markov and Hidden Markov Model
SVM
1. Hard Margin Classifier
2. Soft Margin Classifier

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
ANN-visualizer.ipynb		ANN-visualizer.ipynb
Copy_of_XortrainingWithGeneticAlgo.ipynb		Copy_of_XortrainingWithGeneticAlgo.ipynb
DRDO_PUNE.ipynb		DRDO_PUNE.ipynb
Face.ipynb		Face.ipynb
Feature Selection.ipynb		Feature Selection.ipynb
GaitDataset.ipynb		GaitDataset.ipynb
LabTestGenetic.ipynb		LabTestGenetic.ipynb
LabTestIris.ipynb		LabTestIris.ipynb
MLP Lab.ipynb		MLP Lab.ipynb
MLP.py		MLP.py
README.md		README.md
Robot_Manipulator_Yash.ipynb		Robot_Manipulator_Yash.ipynb
SVM.ipynb		SVM.ipynb
TrajectoryAngleCal.ipynb		TrajectoryAngleCal.ipynb
XortrainingWithGeneticAlgo.ipynb		XortrainingWithGeneticAlgo.ipynb
_config.yml		_config.yml
and.py		and.py
clf_gini.txt		clf_gini.txt
gait.csv		gait.csv
iris.csv		iris.csv
jug.py		jug.py
river.ipynb		river.ipynb