Creating a classification decision tree that predicts heart disease. 79% Recall and 70% Precision
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Updated
Sep 14, 2021 - Python
Creating a classification decision tree that predicts heart disease. 79% Recall and 70% Precision
The project works with aerospace component data, high number of part removals end up being unscheduled and that results in less flight time for the aircraft, this project deals with the historical data and tries to predict the parts failure on component level using survival analysis to avoid the mechanical induced disruptions.
Use SQL to gather, clean, and standardize Kaggle's Nashville housing price dataset.
Hypothesis testing for a movie database
This project is related to data cleaning and transformation
Python API server for supporting scraping and data collection with required authentication and authorization provided by multiple data formats and processing as required.
A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
A utility program to convert binary data to a formatted string of the user's choice
This project is part of Accenture Data Analytics & Visualization Virtual Experience Program on Forage.
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
This project involves analysis of global terrorism trends from 1970 to 2017, uncovering patterns and insights with interactive Tableau visualizations.
This project explores Netflix's content library to uncover trends, popular content and ratings. It aims to provide valuable insights into what's available for streaming on Netflix.
JiraTablify turns Excel tables into Jira format. It makes adding tables to Jira easy.
Reformat AmeriFlux data files into NetCDF and add quality flags for outliers and low-turbulence conditions
IMPatienT🗂️: an integrated web application to digitize, process and explore multimodal patient data. Demo version deployed at: https://impatient.lbgi.fr/
Developed a Python script using Selenium to automate the process of logging into a website and scraping specific data
Data cleaning and Analysing with Advanced excel
🫐 Rich rendering of JSON as HTML in Go
A comprehensive guide to mastering Pandas for data analysis, featuring practical examples, real-world case studies, and step-by-step tutorials. For general information, see
A repository with easy-to-follow instructions on how to prepare you study data files for upload into cBioportal
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