Using lifelines to replicate published articles

This project focuces on analysis of survival patients with Aids, with Python library Lifelines

DecenniumClinic is a reproducible Python stack for epidemiology-style cohorts: validation → imputation-in-pipeline random forests → Harrell’s C tuning, plus /health, /ready, and curl-friendly APIs. Built for methods research, not patient care.

Applying KaplanMeierFitter model on Time and Events

Survival prediction model on TCGA-BRCA data · Python · Lifelines · Streamlit

A repository containing various projects and microprojects.

Survival analysis of breast cancer clinical data using Kaplan–Meier curves and Cox proportional hazards models in Python

This is a interactive math quiz game in which player has to complete a given math equation that can be of multiplication subtraction or addition in a given time

Notebooks for "A topic model analysis of TCGA transcriptomic data of breast and lung cancer"

A biostatistical survival analysis pipeline using Python to evaluate patient prognosis in the Mayo Clinic PBC dataset. Implements Kaplan-Meier estimators and Cox Proportional Hazards models to mathematically process right-censored clinical data and identify mortality risk factors.

Project and tutorial for analyzing datasets with Python, pandas, lifelines, matplotlib, statsmodels, and seaborn

Analyzed user events from a leading scheduling SaaS platform to uncover what drives activation, engagement, and subscription [Part 2]

This project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.

analyzing 200+ Falcon 9 missions via survival analysis, Kaplan-Meier curves, and more

Interactive web application to analyize the survival of Endometrial Cancer

It is an interactive Quiz Game built in Java containing a series of M.C.Q based questions with provided lifelines(Expert Opinion, Fifty-fifty, Skip the question, Redeem a lifeline) for user ’s help.

R shiny application made for the Honours Lab "From stupid data to intelligent Solutions" at Hanze University of Applied Sciences and the Aletta's regional year challenge 2022. Course taken in academic year of 22/23.