robust-scaling

There are 0 repository under robust-scaling topic.

shahriar-rahman / Netflix-Customer-Retention-using-GPR
Forecasting Netflix Customer Retention based on Gaussian Process Regression
gaussian-processes grid-search-cv netflix normalization robust-scaling standardization data-science machine-learning pandas python
Language:Python 11
sharmaroshan / Predicting_Money_Spent_at_Resort
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.
machine regression stacking ensembling boosting scipy box-cox log-transformation robust-scaling lgboost xgboost lasso kernel-ridge elastic-net data-visualization seaborn palettes eda tutorial predictive-modeling
Language:Jupyter Notebook 7
skinan / Breast-Cancer-Diagnosis-Using-Probabilistic-Ensemble-Based-Machine-Learning-Algorithms
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 knn-algorithm svm-classifier breast-cancer-wisconsin breastcancer-classification xgboost xgboost-python probabilistic-models gradient-boosting robust-scaling
Language:Jupyter Notebook 7
Davidelvis / BankClientTermDeposit_Prediction
Bank Institution Term Deposit Predictive Model
exploratory-data-analysis machine-learning pca imbalanced-learning onehot-encoding robust-scaling logistic-regression xgboost-classifier multilayer-perceptron-network random-forest
Language:Jupyter Notebook 3
Rizwan-Hasan / Breast-Cancer-Diagnosis-Using-Probabilistic-Ensemble-Based-Machine-Learning-Algorithms
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 robust-scaling xgboost-python
Language:Jupyter Notebook 2
EmamulHossen / Exploratory-Data-Analysis-EDA-
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
normalization robust-scaling standard-deviation standardization
1
y656 / Weather-data-clustering
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
clustering-algorithm hierarchical-clustering kmeans-clustering matplotlib-pyplot pandas-dataframe seaborn-plots unsupervised-machine-learning kernelpca minmaxscaling outlier-detection pca robust-scaling standard-scaler truncated-svd dendrogram outliers-detection davies-bouldin elbow-plot silhouette-score
Language:Jupyter Notebook 1
carrytheeast / Project_elementry_care_facilities
[Data Analysis] Project in 2022 - Selection of additional areas for elementry care facilities, Used 8 Clustering methods
dbscan-clustering folium geopandas kakao-api kmeans-clustering meanshift-clustering minibatchkmeans-clustering pca robust-scaling silhouette-score spectral-clustering gaussianmixture-clustering affinity-propagation-clustering agglomerative-clustering birch-clustering clustering clustering-methods
Language:Jupyter Notebook 0
carrytheeast / Project_Important_Factors_in_Heart_Disease
[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model
lightgbm optuna ordinal-encoding robust-scaling smote stratified-cross-validation
Language:Jupyter Notebook 0
loopiiu / Deep_Learning_Task2_Action_Recognition
Action recognition using LSTM
action-recognition ffnn lstm-neural-networks robust-scaling
Language:Jupyter Notebook 0
UnsupervisedMovieSegmentation
NMARGOS / UnsupervisedMovieSegmentation
Detecting ideal clusters from imdb's movie dataset to segment using unsupervised learning
correlation-matrix elbow-method hierarchical-clustering kmeans-clustering one-hot-encoding pca robust-scaling silhouette-score unsupervised-machine-learning
Language:Jupyter Notebook 0
PriyankaSett / House_price_prediction
Boston house price prediction using Linear Regression.
boston-housing-price-prediction decision-tree-regression eda flask knn-regressor linear-regression modular-components outlier-detection pipeline random-forest-regression robust-scaling svm-regressor vif
Language:Python 0
bkraffa / desafioclustering
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 k-means-clustering robust-scaling plotly sklearn yellowbrick
Language:Jupyter Notebook
nani757 / Feature_Scaling
Feature_Scaling_Normalization_MinMaxScaling_MaxAbsScaling_RobustScaling
machine-learning minmax-algorithm python robust-scaling standard-scaler mean-normalization
Language:Jupyter Notebook
RafeyIqbalRahman / Data-Scaling-Techniques
This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.
datascale scikit-learn scikitlearn-machine-learning scikit-learn-python sklearn sklearn-library standardscaler minmaxscaling robust-scaling
Language:Python