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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

cards-campaigns-analysis

Analysis of credit card campaigns.

classification-model-workflow

cost-sensitive-churn-modelling

Converting transaction data to a cost-aware churn model using approximated customer lifetime value and efficient test/control windows.

debit-card-segmentation

A compilation of SAS codes and results related to a debit card customer segmentation project

gcp-billing-analysis

A study of how Google Billing data can be leveraged to understand usage cost for Compute, Storage and BigQuery products

github-demo

leetcode-sql-unlocked

Through the command line, the user can easily access all ~125 LeetCode SQL/Database questions, even locked ones, and automatically generate the tables in db-fiddle.com.

machine_learning_examples

A collection of machine learning examples and tutorials.

monotonic-woe-binning-algorithm

Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

probability-of-default-model

A sample workflow of how a probability of default (PD) scorecard model is constructed from scratch; workflow uses the monotonic WOE binning algorithm discussed in another repo..(WIP)

pwc-case-loss-function-module-

Code that can iteratively detect high loss segments from aggregated data and plot segmented trees.

scikit-learn

scikit-learn: machine learning in Python

t-test-algorithm-automation

Codebase to automate outlier detection and elimination across two groups of samples.

timedisagg

Python package that implements temporal disaggregation models to convert low-frequency to high-frequency time series (pip install timedisagg).

walmart-forecasting-challenge