GitHub topics: missing-data-handling
rahitya-123/Defaults-of-Credit-Card-Prediction-using-SVM
This is a machine learning project that predicts credit card payment defaults using Support Vector Machine classification with comprehensive data preprocessing and model optimization.
Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
TsLu1s/mlimputer
MLimputer: Missing Data Imputation Framework for Machine Learning
Language: Python - Size: 4.22 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 8 - Forks: 1
Niveditha-2003/Netflix-Data-Analysis-Using-SQL
This project analyzes Netflix's content library using SQL. It explores content type distribution, rating trends, country-wise content availability, and genre classification to extract meaningful insights from Netflix data for better analysis.
Size: 1.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
AMRHiwa/bicycle_EDA
In this project, we have a set of data related to cyclists, which we intend to analyze, and it should be known that cyclists are very sensitive to air temperature.
Language: Jupyter Notebook - Size: 709 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
raquelbaeta/r-hdi-religion-script
This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.
Language: R - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
