Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Miller | 8,397 | 3 months ago | 65 | November 26, 2022 | 90 | other | Go | |||
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON | ||||||||||
Opendataval | 60 | 4 months ago | 4 | mit | Python | |||||
OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023) | ||||||||||
Udacity Data Analyst Nanodegree | 19 | 5 years ago | n,ull | Jupyter Notebook | ||||||
Datasetops | 10 | 2 | 2 years ago | 4 | March 27, 2020 | 19 | mit | Python | ||
Fluent dataset operations, compatible with your favorite libraries | ||||||||||
Udacity Bertelsmann Data Science Challenge Scholarship 2018 | 9 | 6 years ago | Python | |||||||
This is a repo for my Bertelsmann Data Science Scholarship Challenge: notes, exercises, quizzes. | ||||||||||
Arkhe | 9 | 4 months ago | gpl-3.0 | R | ||||||
:wrench: Tools for cleaning rectangular data | ||||||||||
Data Science Interview Prep | 8 | 4 years ago | gpl-3.0 | |||||||
Interactive notebooks to prepare for data science interviews. These notebooks are free and available for anyone to use! | ||||||||||
Avito Demand Prediction Challenge | 7 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting | ||||||||||
Loan Default Prediction | 5 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter in the first EMI payment using different algorithms from machine learning |