knn-imputation
There are 7 repositories under knn-imputation topic.
miriamspsantos/heterogeneous-distance-functions
A collection of heterogeneous distance functions handling missing values.
ieee-sun/interpolation
Interpolation for Missing Data
sandipanpaul21/KNN-Naive-Bayes-SVM-in-Python
ML Topics include KNN. Naive Bayes and Support vectors both in Theory and Python Code. KNN Imputation technique is also explained in this branch.
vahadruya/Capstone_Classification_Cardiovascular_Risk_Prediction
This project explores the Framingham Heart disease dataset with the objective to predict its risk in 10 years. Various methods for handling missing values and outliers are explored as iterations. After analysing the dataset, important and necessary features are selected. Seven ML models are implemented, with evaluation on the basis of Test Recall.
BNTechie/Data-Imputation
Different imputation technique with example
MOHD-AFROZ-ALI/Customer-Segmentation-on-Credit-Details
Customer Segmentation with Credit Insights helps businesses personalize marketing and boost retention by analyzing credit card usage patterns. Using K-Means, DBSCAN, and PCA, it identifies meaningful customer segments from high-dimensional transaction data.
rb-thompson/xgb-exercises
Various data processing techniques for handling missing values