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* 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

Repo content list

  • 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