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ann_visualization

automated-modelling-pipeline

Collection of modules built to automate standard data mining tasks such as Data Profiling, Data Visualization, Data Imputation, Model Building (done using CARET) and Model Evaluation.

binary_classification_model_evaluation_metrics_function

A function which takes model probability and actual values as argument and returns an xlsx with model evaluation metrics (Gini,KS,AUC,Lift Table & Charts,Confusion Matrix,Precision,Recall etc) for training and test datsets.

convert-models-to-c

cs231n.github.io

Public facing notes page

data-profiling-function

This function generates a data profile report of the dataset passed as an argument.

data-visualisation-function

# Data-Visualisation-Function A function which takes the dataset as an argument and generates univariate and bivariate plots for each variable.

datacamp-codes

fever-fedml

imputation_function

Suggests & performs imputation from a list of available methods based on user selection

incrementexplain

iv_wrapper_function

Wrapper Function for Generating IVs in binary classification problems

market-basket-analysis

misc_r_codes

new_codes

python-codes

routing_service

saliency-metrics

An Open-source Framework for Benchmarking Explanation Methods in Computer Vision

socketvpn

text-classification

time_series_data

tree_classifier

yavpn

Yet Another VPN. A simple VPN proxy server and client written in Python