TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Actuarial reserving in Python

Python implementation of Double/Debiased machine learning algorithm from Chernozhukov et. al ontop of sklearn. Builds and deploys to pip using github actions.

A Python implementation of the semiparametric double-index estimator of Klein and Vella (2009)

A tensorflow template with TF Dataset API, TFRecords and TF Custom Estimator for multi-class image classificaiton task

国内基金数据获取及回归排名

sequential state estimator examples, including EKF, UKF, CKF, IMM, and etc.

Implementation of the projects for the DSC 530: Probability and Statistics for Data Science course, of the MSc in Data Science programme of the University of Cyprus.

A modular two-step convex optimization estimator for ill-posed problems

A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems

Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators

Analysing dataset using statistical estimators

A machine learning project designed to predict the likelihood of heart disease based on a set of health indicators.

Properties of estimators using the Univariate Normal model

Extra blocks for scikit-learn features.