Machine-Learning-Pulsar-Dota

Various Machine learning approaches to the binary classification problems of identifying Pulsars and predicting the winning team of a Dota2 match.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
ANN		ANN
DT		DT
KNN		KNN
SVM		SVM
boost_DT		boost_DT
data		data
.gitignore		.gitignore
ANN_Dota_TrainNTest.py		ANN_Dota_TrainNTest.py
ANN_Pulsar_TrainNTest.py		ANN_Pulsar_TrainNTest.py
Assignment_1.pdf		Assignment_1.pdf
DT_Dota_TrainNTest.py		DT_Dota_TrainNTest.py
DT_Pulsar_TrainNTest.py		DT_Pulsar_TrainNTest.py
KNN_Dota_TrainNTest.py		KNN_Dota_TrainNTest.py
KNN_Pulsar_TrainNTest.py		KNN_Pulsar_TrainNTest.py
README.md		README.md
README.txt		README.txt
SVM_Dota_TrainNTest.py		SVM_Dota_TrainNTest.py
SVM_Pulsar_TrainNTest.py		SVM_Pulsar_TrainNTest.py
boost_DT_Dota_TrainNTest.py		boost_DT_Dota_TrainNTest.py
boost_DT_Pulsar_TrainNTest.py		boost_DT_Pulsar_TrainNTest.py
config.py		config.py
data_handler.py		data_handler.py

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