Topic: knn-imputer Goto Github
Some thing interesting about knn-imputer
Some thing interesting about knn-imputer
knn-imputer,Modelling the relationship between a playerβs first-time eligible arbitration salary and multiple variables.
User: allen-ho-0302
knn-imputer,
User: ambreenmahhoor
knn-imputer,Built a model to determine the risk associated with extending credit to a borrower. Performed Univariate and Bivariate exploration using various methods such as pair-plot and heatmap to detect outliers and to monitor the behaviour and correlation of the features. Imputed the missing values using KNN Imputer and implemented SMOTE to address the imbalanced data. Trained the model using KNN, Decision Trees, Logistic Regression and Random Forest to achieve the best accuracy of 93%.
User: ayushtyagi1610
knn-imputer,Kaggle UK Used Car challenge
User: bortch
knn-imputer,Streamlit app developed for bank customer deposit prediction, using a fine-tuned XGBClassifier model.
User: dfavenfre
knn-imputer,pH Level Forecasting of Well Water Samples in Malawi, Conducted by Leeds Beckett University
User: fosetorico
knn-imputer,The company develops efficiency solutions for heavy industry. The model should predict the amount of pure gold extracted from gold ore. You have the data on extraction and purification. The model will help optimize production and eliminate unprofitable parameters.
User: gui-sitton
knn-imputer,Filling missed data-points with the most common values among nearest neighbors
User: huzeyfeayaz
knn-imputer,This flask web app is used to detect if a wafer(sensor chip) is default or not based on sensor readings.
User: kritika755
knn-imputer,This project focuses on predicting customer churn in an e-commerce setting using machine learning techniques.
User: mariadimopoulou
knn-imputer,A collection of heterogeneous distance functions handling missing values.
User: miriamspsantos
knn-imputer,the multivariate analysis compares different rows and columns for beat accuracy eg:knn imputer in univariate analysis it only compares with the same columns eg mean or median for numbers
User: nani757
knn-imputer,Data imputation is used when there are missing values in a dataset. It helps fill in these gaps with estimated values, enabling analysis and modeling. Imputation is crucial for maintaining dataset integrity and ensuring accurate insights from incomplete data.
User: nf-i
knn-imputer,[Kaggle Submission] -Using XGBRegressor with shap, grid search and hyperopt to predict house prices
User: nmargos
knn-imputer,Predicting employee burnout using machine learning algorithms: Random Forest and k-Nearest Neighbors.
User: ntyblco
Home Page: https://ntyblco.github.io/ML_Prediction_RF_KNN/
knn-imputer,Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.
User: samkazan
knn-imputer,My Capstone for the HarvardX Course "Introduction to Data Science with Python"
User: sayukiusui
knn-imputer,A repository for various Data Science projects I've worked on, both university-related and in my spare time.
User: sebastianrokholt
knn-imputer,Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.
User: singhxtushar
knn-imputer,Analysis about Accident Aviation from 1962 up to 2023
User: yasereleraky
Home Page: https://www.kaggle.com/datasets/yassereleraky/aviation-accident-ntsb
knn-imputer,we perpuse a method to fill nan values using clustering
User: yd5463
knn-imputer,This repository is a collection of basic code templates for Data Preparation. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.
User: zl63388
knn-imputer,This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
User: zuhaib1214
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