Evaluate real and synthetic datasets against each other

Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

Create a continuous integration (CI) workflow for testing LLMs applications in an effective way.

An empirical variant annotation and data evaluation pipeline.

It is a map to large language model. M for multi chat, A for analyze image, P for Probe database.

A Dashboard for evaluation & visualization of synthetic patient level data

A generic system for evaluating and classifying data into enumerators (IEnummerable's) where their classification terms and conditions can be dynamically scripted. Initially designed for academic purposes

This report summarizes a big data project using a Kaggle dataset to predict review scores for orders in Brazilian marketplaces. We employed linear regression to identify key factors influencing review scores, including payment installment method, freight value, customer region, and payment type.

Synthetic Data Generation and Evaluation

The long shot is to provide more or less untrainded clinical staff to evaluate FC NMR data. This project aims at large data sets. A server-client set-up let's you analyse huge datasets in a complicated way with say a laptop. However we only started. So: We try to hack some tool together that is useful for evaluating FC NMR data. For first tries …

Loan Approval Prediction

Titanic Survivor Analysis and Prediction