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GitHub topics: robust-scaling

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.

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 3

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

Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

loopiiu/Deep_Learning_Task2_Action_Recognition

Action recognition using LSTM

Language: Jupyter Notebook - Size: 164 KB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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

Forecasting Netflix Customer Retention based on Gaussian Process Regression

Language: Python - Size: 72.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 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

Language: Jupyter Notebook - Size: 241 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

Rizwan-Hasan/Breast-Cancer-Diagnosis-Using-Probabilistic-Ensemble-Based-Machine-Learning-Algorithms Fork of skinan/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.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

Davidelvis/BankClientTermDeposit_Prediction

Bank Institution Term Deposit Predictive Model

Language: Jupyter Notebook - Size: 992 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3

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.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

nani757/Feature_Scaling

Feature_Scaling_Normalization_MinMaxScaling_MaxAbsScaling_RobustScaling

Language: Jupyter Notebook - Size: 189 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 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.

Language: Jupyter Notebook - Size: 3.62 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

RafeyIqbalRahman/Data-Scaling-Techniques

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

Language: Python - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0