GitHub topics: data-binning
arpitnarechania/resiliency-app
Resiliency is an ensemble binning method that considers how frequently a geographic entity (e.g., county) falls in a particular bin across multiple comparable data binning methods. This application helps users visualize and interact with the outputs of Resiliency on a variety of datasets.
Language: TypeScript - Size: 1.83 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
arpitnarechania/binguru
BinGuru is an open-source Typescript package to bin/classify data using 18 established binning methods, including a new method, resiliency.
Language: TypeScript - Size: 66.4 KB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0
Yash22222/Data-Analysis-With-Python
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.
Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
skiehl/timeseriestools
Python3 tools for time series analysis.
Language: Python - Size: 11.7 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1
prasadposture/Data-Preparation
There are lot of things that need to be done on the given dataset before we feed it to the machine, these things come under data preprocessing. In this repository I have tried to explain those things with some examples.
Language: Jupyter Notebook - Size: 420 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
nilayhangarge/Data-Analysis-with-Python
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.
Language: Jupyter Notebook - Size: 274 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
