clean-data
Here are 22 public repositories matching this topic...
Remove unused files and scripts that slowdown and distract developers from quick iteration on your game
-
Updated
Jan 7, 2025 - C#
Projects done on data science in python course
-
Updated
Sep 8, 2021 - Jupyter Notebook
Analytics for apps market in Google Play and App Store.
-
Updated
Apr 29, 2021 - Jupyter Notebook
Docker container to parse addresses and return coordinates, checking them againts IPEA/IBGE vectorized maps of Brazil
-
Updated
Jan 6, 2021 - R
PREPARE FOR CERTIFICATION // 96 hours .25 Courses .6 Projects .3 Skill Assessments
-
Updated
Jan 18, 2023 - Jupyter Notebook
Data Analysis Protects
-
Updated
Jan 6, 2023 - Jupyter Notebook
find common skills requested by employers in data science
-
Updated
Sep 26, 2017
The investors and marketing team of Eniac, an e-commerce tech company, are having discrepancies as to whether it is beneficial to discount products.
-
Updated
Mar 7, 2023 - Python
-
Updated
Oct 23, 2023 - Jupyter Notebook
Cleaning data using decision tree and k-nn techniques
-
Updated
Feb 16, 2024 - Jupyter Notebook
Pandas kullanarak veri setlerini birleştiren ve tekrar eden verileri temizleyen en sonda da temizlenmiş bir veri seti oluşturan kod.
-
Updated
May 29, 2023 - Jupyter Notebook
exploring a database of every LEGO set ever built.
-
Updated
Feb 17, 2018 - Jupyter Notebook
Use Python to perform Data Wrangling (Gathering, Assessing, Cleaning) of the WeRateDogs Twitter account and archive, followed by storing, analyzing and visualizing the wrangled data.
-
Updated
Dec 13, 2022 - Jupyter Notebook
This project focuses on cleaning and preprocessing a dataset related to cricket statistics
-
Updated
Aug 7, 2024 - Jupyter Notebook
Research and Development of a Product Recommendation System using Deep Matrix Factorization
-
Updated
Apr 12, 2025 - Jupyter Notebook
The model predicts the treatment success rate for new TB cases with high accuracy and robustness. Two different approaches: PCA and Bayesian Inference. The Bayesian regression analysis reveals that c_new_sp_tsr and new_sp_fail are significant predictors of the treatment success rate, while other predictors show less certainty in their effects.
-
Updated
May 16, 2024 - Jupyter Notebook
SQL-based data cleaning and transformation of employee training datasets, focusing on handling missing values, correcting inconsistencies, and optimizing data quality for analysis
-
Updated
Nov 15, 2024
Project Benson, which analyze MTA subway data to predict highest-trafficked stations in New York City, was done in collaboration with Jonathan Sterling (jasterling) and Kelly Jones (kjones5)
-
Updated
Apr 19, 2018 - Jupyter Notebook
For MLSA Workshop
-
Updated
Mar 31, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the clean-data topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the clean-data topic, visit your repo's landing page and select "manage topics."