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numerical-data

Here are 9 public repositories matching this topic...

chandraseta / gan-on-structured-data

Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network

generative-adversarial-network gan structured-data dataset-generation generative-adversarial-networks categorical-data generative-adversarial-net numerical-data

Updated Sep 7, 2018
Jupyter Notebook

suva007 / clustering

CONTAINS CLUSTERING ALGORITHMS

python algorithm research clustering mst kmeans-clustering optimisation agglomerative-clustering categorical-data numerical-data kmode

Updated Jan 9, 2022
Jupyter Notebook

seapovedac / cprisma

CPRISMA (version 1.0, 2021) is a bioinformatics program that gives color to multiple sequence alignment based on an input of numerical data.

bioinformatics alignment graphic-design numerical-data

Updated Aug 4, 2022
Python

vaitybharati / P23.-EDA-1

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

python data exploratory-data-analysis transformations eda scatter-plot outlier-detection pandas-profiling categorical-data correlation-analysis numerical-data min-max-scaler missing-value-imputation sweetviz standard-scaler auto-eda data-type-conversion

Updated May 28, 2021
Jupyter Notebook

guevara-erik / Wolrldwide-Suicide-Rates-Bivariate-Analysis

Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.

correlation analytics japan plotting numerical-analysis suicide bivariate-analysis categorical-data-visualization categorical-data numerical-data suicide-prevention suicide-data world-data wolrldwide-suicide-rates

Updated Sep 21, 2022
Jupyter Notebook

AVINASH-KURREY / Exploratory-data-analysis-EDA-

Exploratory data analysis (EDA) NOTES

outliers data-analysis outlier-detection standardization transformation norma outlier-removal bivariate-analysis categorical-data-visualization missing-values numerical-data univariate-analysis

Updated Jan 7, 2024

PriyankaSett / click_through_rates

This is a binary classification problem. Given the data, one needs to predict that if a user is going to click an advertisement or not.

numpy eda pandas seaborn hyperparameter-optimization matplotlib roc-curve decision-tree-classifier binary-classification svm-classifier knn-classification random-forest-classifier categorical-data numerical-data auc-score

Updated Jun 5, 2023
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karanmitroo / stunning-chainsaw

A simplified algorithm to cluster mixed-type data(numerical and categorical).

clustering binning data-clustering clustering-algorithm data-clustering-algorithm categorical-data mixed-data numerical-data

Updated Jun 4, 2018
Python

NabilahSharfina / Ruangguru-Bootcamp

Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2

encoding numpy exploratory-data-analysis pandas seaborn forecasting outliers matplotlib multivariate-analysis categorical-data missing-values inner-join numerical-data univariate-analysis one-hot-encoding data-splitting handling-missing-value handling-outlier

Updated Jul 1, 2022
Jupyter Notebook

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