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.

pipelines flask-api classification-algorithm svc-model simple-imputer xgbclassifier knn-imputer gradientboostingclassifier deployment-docs randomforrestclassifier

UpdatedMay 19, 2024
Jupyter Notebook

ZL63388 /data-preparation-codes

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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.

pandas feature-selection outlier-detection feature-scaling onehot-encoding simpleimputer knn-imputer

UpdatedJul 27, 2021
Python

TheMrityunjayPathak /Feature-Engineering

Star2

Feature Engineering with Python

pipeline data-normalization imbalanced-data outlier-removal zscore iqr label-encoding simple-imputer dummy-variables onehot-encoding ordinal-encoding column-transformer knn-imputer data-standardization modified-zscore

UpdatedMar 17, 2025
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mahnoorsheikh16 /Credit-Card-Default-Prediction

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This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

visualization encoding json numpy sklearn plotly pandas seaborn pca-analysis scipy logistic-regression matplotlib support-vector-machines smote imblearn timeseries-forecasting streamlit xgboost-classifier hiplot knn-imputer

UpdatedDec 4, 2024
Jupyter Notebook

zuhaib1214 /Feature-Engineering

Star1

This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.

standardization feature-engineering principal-component-analysis binarization z-score normalisation onehot-encoding simpleimputer ordinal-encoding labelencoder knn-imputer winsorization iterative-imputer percentile-method discritisation mean-median-imputation frequent-value-imputation

UpdatedApr 7, 2023
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Allen-Ho-0302 /First-Time-Eligible-Arbitration-Salary-Prediction

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Modelling the relationship between a player’s first-time eligible arbitration salary and multiple variables.

python random-forest heatmap-visualization lightgbm-regressor smogn knn-imputer

UpdatedSep 23, 2022
Jupyter Notebook

Seghelicious /Cars45

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cross-validation pipelines regression standardization preprocessing data-cleaning normalization correlation-coefficient random-forest-regressor model-development extreme-values knn-regressor knn-imputer grid-search-cv standard-scaler log-transform

UpdatedMar 14, 2021
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nf-i /data-imputation-python

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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.

python sklearn data-imputation simple-imputer knn-imputer sklearn-impute mice-imputer

UpdatedOct 25, 2023
Python

bortch /second_hand_UK_car_challenge

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Kaggle UK Used Car challenge

machine-learning random-forest kaggle knn-imputer

UpdatedOct 30, 2021
Python

AmbreenMahhoor /What-Is-Complete-Case-Analysis-Or-CCA

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cca handling-missing-value knn-imputer mean-median-imputation frequent-value-imputation missing-indicator arbitrary-value-imputation automatically-select-imputer-parameters missing-category-imputation random-sample-imputation complete-case-analysis

UpdatedAug 2, 2024
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dfavenfre /customer_deposit_classifier

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Streamlit app developed for bank customer deposit prediction, using a fine-tuned XGBClassifier model.

finance banking smote rfecv xgboost-classifier knn-imputer

UpdatedAug 10, 2023
Jupyter Notebook

AyushTyagi1610 /Credit-Risk-Modelling

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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 i…

python random-forest visualisation pandas datacleaning smote-oversampler knn-imputer

UpdatedNov 14, 2022
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sayukiusui /Capstone-IDSCP

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My Capstone for the HarvardX Course "Introduction to Data Science with Python"

data-science data jupyter-notebook python3 dataset scipy data-analysis logistic-regression knn data-analysis-python data-science-projects matplotlib-pyplot scikit-learn-python covid19 covid-19-data-analysis data-visualization-python knn-imputer

UpdatedMay 16, 2024
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SamKazan /fraud-detection-ml

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Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.

python data-science clustering scikit-learn eda data-visualization seaborn xgboost matplotlib dbscan kmeans-clustering hierarchical-clustering dataanalytics mlxtend knn-imputer