Files

SVM_solver
Ada_Boosting.ipynb
Feed_Forward.ipynb
Gaussian_Naive_Bayes_Algorithm.py
ID3Algo_entropy.py
KNN_Algorithm.ipynb
Linear_Discriminant_Analysis.R
Logistic_regression_classifier.py
OR_Perceptron.ipynb
Perceptron_Learning_Rule.py
PolyTrain.txt
README.md
Randomly_assigned_weights_inrange.ipynb
SelfTraining.py
Semi_supervised_classifier.ipynb
TrainingSet.csv
TrainingSet_1.csv
TrainingSet_lda.csv
XOR_Perceptron.ipynb
accuracy.ipynb
bagging_10.py
bagging_100.py
bagging_50.py
decision_tree_learner.py
main.py
polynomial_regression.py
self_learning.csv
tic-tac-toe_test.csv
tic-tac-toe_train.csv

TrainingSet.csv