* Exploredatascience using Python

Booz Allen’s Explore Data Science introduces common data science theory and techniques to help programmers, mathematicians, and other technical professionals expand their data science expertise.

Used Python 2.7, numpy and scikit-learn

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K-nearestNeighbors
K-nearestNeighborsIndices
LSH_3
RECS
SCATTERPLOTS
SINGLE_TREE
SVD-3
SVD-II
SVDI
XOR_WITH_PYBRAIN
backprop_calculate_gradient
buildingmodels
calculating_t-statistic
clustering_hierarchical
correlation
create_backpropTrainer
forest
forward_prop_call_variable
forward_propagation
impute_missing
k-nearestNeighborsDistances
labelBEERdata
logistic_funtion
object_build_pybrain
olsmodels
one_sampe_one_side_t_test
plotregression
predictbyweight
p-value
r_squared
random_projection
reducethedimensionalitywithPCA
regularization
scatter
single_variable_regression
slope_intercepts
stocastic_gradient
straightforward
top3seeds
top3seedsdistances
top3seedsindices
train_with_pybrain
transform_data

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Jaccard.py		Jaccard.py
K-nearestNeighbors.py		K-nearestNeighbors.py
K-nearestNeighborsIndices.py		K-nearestNeighborsIndices.py
LSH_3.py		LSH_3.py
README.md		README.md
RECS.py		RECS.py
SCATTERPLOTS.py		SCATTERPLOTS.py
SINGLE_TREE.py		SINGLE_TREE.py
SVD-3.py		SVD-3.py
SVD-II.py		SVD-II.py
SVDI.py		SVDI.py
XOR_WITH_PYBRAIN.py		XOR_WITH_PYBRAIN.py
backprop_calculate_gradient.py		backprop_calculate_gradient.py
buildingmodels.py		buildingmodels.py
calculating_t-statistic.py		calculating_t-statistic.py
clustering_hierarchical.py		clustering_hierarchical.py
correlation.py		correlation.py
create_backpropTrainer.py		create_backpropTrainer.py
forest.py		forest.py
forward_prop_call_variable.py		forward_prop_call_variable.py
forward_propagation.py		forward_propagation.py
impute_missing.py		impute_missing.py
k-nearestNeighborsDistances.py		k-nearestNeighborsDistances.py
labelBEERdata.py		labelBEERdata.py
logistic_funtion.py		logistic_funtion.py
lookingAtLSH-hashed_data.txt		lookingAtLSH-hashed_data.txt
object_build_pybrain.py		object_build_pybrain.py
olsmodels.py		olsmodels.py
one_sampe_one_side_t_test.py		one_sampe_one_side_t_test.py
plotregression.py		plotregression.py
predictbyweight.py		predictbyweight.py
pvalue.py		pvalue.py
r_squared.py		r_squared.py
random_projection.py		random_projection.py
reducethedimensionalitywithPCA.py		reducethedimensionalitywithPCA.py
regularization.py		regularization.py
scatter.py		scatter.py
single_variable_regression.py		single_variable_regression.py
slope_intercepts.py		slope_intercepts.py
stocastic_gradient.py		stocastic_gradient.py
straightforward.py		straightforward.py
top3seeds.py		top3seeds.py
top3seedsdistances.py		top3seedsdistances.py
top3seedsindices.py		top3seedsindices.py
train_with_pybrain.py		train_with_pybrain.py
transform_data.py		transform_data.py

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* Exploredatascience using Python

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