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
- 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