A Python library for calculating a large variety of metrics from text
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Updated
Jul 15, 2024 - Python
A Python library for calculating a large variety of metrics from text
A small collection of lesser-known statistical measures
Astetik takes away the pain from telling visual stories with data on Python
Investigate a dataset of appoinment records for Brasil public hospitals
Python package containing functions implemented for descriptive and inferential statistics.
🍪 Data Analysis of Amazon Fine Food Reviews using Hadoop and Map/Reduce
Detailed industry specific framework to solve Machine Learning Problem
Gui to edit and analyze CSV-Files with Python, Pandas, and more
Python implementation of Cramer's V, often used to find the correlation between two categorical variables.
Repository contains a package with functions for data analytics
Machine learning algorithms play an essential and precise role in the prediction of heart disease. An accurate prediction would thereby help to reduce the death rate of heart patients.
Development and deployment of a Plotly Dash dashboard on Google Cloud Platform (GCP) and Heroku
My first project from Udacity's data analysis professional nanodegree program, provided by FWD scholarship.
🚒 🔥 Hobby data science project to analyze San Francisco's fire service.
Statix is a Python library for making descriptive and inferential statistics accessible to your Python programs.
Repositorio enfocado en conceptos fundamentales de estadística descriptiva e inferencial para el área de Data Science.
Generating (divergent) bar plots of attitudes towards transport policy in Switzerland from the Mobility and Transport Microcensus (MTMC)
Python implementation of Distance Correlation, used to capture the linear and non-linear correlations between two continuous variables.
User Interactive Exploratory Data Analysis
This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.
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