-
amazon-sagemaker-examples Public
Forked from aws/amazon-sagemaker-examplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Jupyter Notebook Apache License 2.0 UpdatedAug 29, 2023 -
Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)
-
-
-
gcp-billing-analysis Public
A study of how Google Billing data can be leveraged to understand usage cost for Compute, Storage and BigQuery products
-
Converting transaction data to a cost-aware churn model using approximated customer lifetime value and efficient test/control windows.
-
timedisagg Public
Python package that implements temporal disaggregation models to convert low-frequency to high-frequency time series (pip install timedisagg).
-
leetcode-sql-unlocked Public
Forked from jjjchens235/leetcode-sql-unlockedThrough 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.
-
openrec Public
Forked from ylongqi/openrecOpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Python Apache License 2.0 UpdatedJul 1, 2020 -
machine_learning_examples Public
Forked from lazyprogrammer/machine_learning_examplesA collection of machine learning examples and tutorials.
-
scikit-learn Public
Forked from scikit-learn/scikit-learnscikit-learn: machine learning in Python
Python Other UpdatedMay 24, 2020 -
-
Code that can iteratively detect high loss segments from aggregated data and plot segmented trees.
Python UpdatedJul 7, 2018 -
T-Test-Algorithm-Automation Public
Codebase to automate outlier detection and elimination across two groups of samples.
SAS UpdatedJul 7, 2018 -
Debit-Card-Segmentation Public
A compilation of SAS codes and results related to a debit card customer segmentation project
-
Probability-of-Default-Model Public
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)
-