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__pycache__
__pycache__
 
 
bilicheck.py
bilicheck.py
 
 
AsimpleLassificationTask.py
AsimpleLassificationTask.py
 
 
Assignment4.py
Assignment4.py
 
 
CommViolPredUnnormalizedData.txt
CommViolPredUnnormalizedData.txt
 
 
Cross Validation.txt
Cross Validation.txt
 
 
CrossValidation&ValidationCurves.py
CrossValidation&ValidationCurves.py
 
 
DataMunging.py
DataMunging.py
 
 
GradientBoostingClassifier.py
GradientBoostingClassifier.py
 
 
GridSearch.py
GridSearch.py
 
 
Kernelized SVM.txt
Kernelized SVM.txt
 
 
Linear models,ridge,lasso and polynomial regression summary.txt
Linear models,ridge,lasso and polynomial regression summary.txt
 
 
LinearSupportVectorMachines.py
LinearSupportVectorMachines.py
 
 
Logistic Regression reading notes.txt
Logistic Regression reading notes.txt
 
 
LogisticRegression.py
LogisticRegression.py
 
 
ModelEvaluation.py
ModelEvaluation.py
 
 
ModelSelectionUsingEvaluationMetrics.py
ModelSelectionUsingEvaluationMetrics.py
 
 
Module1.py
Module1.py
 
 
Module2.py
Module2.py
 
 
Module2_assignment.py
Module2_assignment.py
 
 
Module3.py
Module3.py
 
 
MulticlassModelEvaluation.py
MulticlassModelEvaluation.py
 
 
NaiveBayesClassifier.py
NaiveBayesClassifier.py
 
 
NeuralNetworks.py
NeuralNetworks.py
 
 
OptimisingAClassifierUsingDiffEvalMetrics.py
OptimisingAClassifierUsingDiffEvalMetrics.py
 
 
PolynomialFeatures.py
PolynomialFeatures.py
 
 
RandomForests.py
RandomForests.py
 
 
RegressionEvaluation.py
RegressionEvaluation.py
 
 
SupervisedLearningDatasets.py
SupervisedLearningDatasets.py
 
 
ValidationCurve.py
ValidationCurve.py
 
 
addresses.csv
addresses.csv
 
 
adspy_shared_utilities.py
adspy_shared_utilities.py
 
 
adspy_temp.dot
adspy_temp.dot
 
 
answerone.py
answerone.py
 
 
ass2check.py
ass2check.py
 
 
ass4test.py
ass4test.py
 
 
ass5.py
ass5.py
 
 
ass5check.py
ass5check.py
 
 
assignment1.py
assignment1.py
 
 
assignment2.py
assignment2.py
 
 
assignment3trails.py
assignment3trails.py
 
 
ayoo.py
ayoo.py
 
 
callingtheknn.py
callingtheknn.py
 
 
changingindex.py
changingindex.py
 
 
check12.py
check12.py
 
 
checking.py
checking.py
 
 
chee.py
chee.py
 
 
dot_data.dot
dot_data.dot
 
 
edu.html
edu.html
 
 
emu.py
emu.py
 
 
emucheck.py
emucheck.py
 
 
fraud_data.csv
fraud_data.csv
 
 
fruit_data_with_colors.txt
fruit_data_with_colors.txt
 
 
jcj.py
jcj.py
 
 
knnclassifier&regressor.py
knnclassifier&regressor.py
 
 
latlons.csv
latlons.csv
 
 
mushrooms.csv
mushrooms.csv
 
 
newAssignment1.py
newAssignment1.py
 
 
newassignment2.py
newassignment2.py
 
 
pende.py
pende.py
 
 
polydeg2.py
polydeg2.py
 
 
polydeg2conclusion.py
polydeg2conclusion.py
 
 
reviewass4.py
reviewass4.py
 
 
reviewofassgn1.py
reviewofassgn1.py
 
 
test.csv
test.csv
 
 
test12.py
test12.py
 
 
testing.py
testing.py
 
 
testing2.py
testing2.py
 
 
testing3.py
testing3.py
 
 
testing4.py
testing4.py
 
 
testing5.py
testing5.py
 
 
train.csv
train.csv
 
 

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My code for the Applied Machine Learning in Python course on Coursera

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machine-learning machine-learning-algorithms sckit-learn
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