robust-scaling

Here are 15 public repositories matching this topic...

shahriar-rahman / Netflix-Customer-Retention-using-GPR

Forecasting Netflix Customer Retention based on Gaussian Process Regression

python data-science machine-learning pandas netflix standardization gaussian-processes normalization robust-scaling grid-search-cv

Updated Jul 22, 2023
Python

skinan / Breast-Cancer-Diagnosis-Using-Probabilistic-Ensemble-Based-Machine-Learning-Algorithms

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This project is a part of research on Breast Cancer Diagnosis with Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.

machine-learning xgboost breast-cancer-wisconsin svm-classifier probabilistic-models gradient-boosting breastcancer-classification knn-algorithm xgboost-python robust-scaling

Updated Aug 8, 2021
Jupyter Notebook

sharmaroshan / Predicting_Money_Spent_at_Resort

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It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.

Updated May 13, 2019
Jupyter Notebook

Davidelvis / BankClientTermDeposit_Prediction

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Bank Institution Term Deposit Predictive Model

machine-learning random-forest exploratory-data-analysis pca logistic-regression multilayer-perceptron-network imbalanced-learning robust-scaling onehot-encoding xgboost-classifier

Updated Aug 29, 2020
Jupyter Notebook

Rizwan-Hasan / Breast-Cancer-Diagnosis-Using-Probabilistic-Ensemble-Based-Machine-Learning-Algorithms

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This project is a part of research on Breast Cancer Diagnosis with a Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.

machine-learning xgboost breast-cancer-wisconsin svm-classifier probabilistic-models gradient-boosting breastcancer-classification knn-algorithm xgboost-python robust-scaling

Updated Apr 27, 2021
Jupyter Notebook

y656 / Weather-data-clustering

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This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

pandas-dataframe pca outlier-detection clustering-algorithm kmeans-clustering hierarchical-clustering unsupervised-machine-learning elbow-plot dendrogram truncated-svd minmaxscaling matplotlib-pyplot seaborn-plots kernelpca robust-scaling outliers-detection silhouette-score standard-scaler davies-bouldin

Updated Jul 2, 2022
Jupyter Notebook

EmamulHossen / Exploratory-Data-Analysis-EDA-

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Exploratory Data Analysis (EDA) is one of the techniques used for extracting vital features and trends used by machine learning and deep learning models in Data Science

standardization normalization standard-deviation robust-scaling

Updated Aug 19, 2023

carrytheeast / Project_elementry_care_facilities

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[Data Analysis] Project in 2022 - Selection of additional areas for elementry care facilities, Used 8 Clustering methods

clustering pca folium kmeans-clustering kakao-api geopandas dbscan-clustering clustering-methods spectral-clustering agglomerative-clustering robust-scaling affinity-propagation-clustering silhouette-score meanshift-clustering minibatchkmeans-clustering birch-clustering gaussianmixture-clustering

Updated Dec 27, 2022
Jupyter Notebook

RafeyIqbalRahman / Data-Scaling-Techniques

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This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.

scikit-learn sklearn scikitlearn-machine-learning datascale sklearn-library minmaxscaling scikit-learn-python robust-scaling standardscaler

Updated Aug 4, 2020
Python

bkraffa / desafioclustering

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Desafio de clusterização de clientes feito para o IFood e Tera. Utilizando as bibliotecas Plotly, Sklearn e Yellowbrick conseguimos fazer a clusterização em 3 dimensões de forma eficiente e visual utilizando as features construídas no feature engineering a partir de bases de clientes, pedidos e sessões do iFood.

clustering sklearn plotly k-means-clustering robust-scaling yellowbrick