SQL Build Manager is an all-in-one database management tool to easily update your fleet SQL Server databases - from one to tens of thousands.

High performance Python GLMs with all the features!

Coding ML models, Sampling Methods, Feature Selection algorithms from scratch

次元期权应征面试题范例。

A chronological age predictor based on DNA methylation

Study about salaries in data scientists roles applying the following techniques: QDA, LDA, Naive-Bayes approach, Random Forests, KNN, SVM, (Logistic, Lasso and Ridge) Regression and Elastic Nets. Also, study of the database considering linear, simple and multivariate models.

H2Oai GPU Edition

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

✅ Behavioral global/local metacognition and visual illusion opendata and code for Matsuyoshi et al. (2024) BMC Psychol

PreTHOD: Prediction of THerapy Outcome in Depression, a research project for the development of clinical prediction models to predict therapy outcome of depression.

MOSS: Multi-Omic integration via Sparse Singular Decomposition

Machine Learning in Scikit-Learn and TensorFlow

Simple and flexible classical ML module that can be used for recording baseline ML performance.

This is the website repository for the Stata packages lassopack & pdslasso. Please visit:

LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

mlim: single and multiple imputation with automated machine learning

Python implementation of elastic-net regularized generalized linear models

Leverage machine learning techiques to predict Capital Bikesahre demand