numerical-data

There are 0 repository under numerical-data topic.

chandraseta / gan-on-structured-data
Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network
categorical-data dataset-generation gan generative-adversarial-net generative-adversarial-network generative-adversarial-networks numerical-data structured-data
Language:Jupyter Notebook 7
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
Language:Python 3
suva007 / clustering
CONTAINS CLUSTERING ALGORITHMS
clustering algorithm kmeans-clustering mst agglomerative-clustering research categorical-data numerical-data kmode optimisation python
Language:Jupyter Notebook 3
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 eda exploratory-data-analysis data auto-eda pandas-profiling sweetviz scatter-plot correlation-analysis transformations outlier-detection missing-value-imputation numerical-data categorical-data min-max-scaler standard-scaler data-type-conversion
Language:Jupyter Notebook 3
AVINASH-KURREY / Exploratory-data-analysis-EDA-
Exploratory data analysis (EDA) NOTES
bivariate-analysis categorical-data-visualization data-analysis missing-values norma numerical-data outlier-detection outlier-removal outliers standardization transformation univariate-analysis
0
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.
auc-score binary-classification categorical-data decision-tree-classifier eda hyperparameter-optimization knn-classification matplotlib numerical-data numpy pandas random-forest-classifier roc-curve seaborn svm-classifier
Language:Jupyter Notebook 0
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.
analytics bivariate-analysis categorical-data categorical-data-visualization correlation japan numerical-analysis numerical-data plotting suicide suicide-data suicide-prevention world-data wolrldwide-suicide-rates
Language:Jupyter Notebook
karanmitroo / stunning-chainsaw
A simplified algorithm to cluster mixed-type data(numerical and categorical).
clustering clustering-algorithm mixed-data categorical-data numerical-data binning data-clustering data-clustering-algorithm
Language:Python
NabilahSharfina / Ruangguru-Bootcamp
Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2
categorical-data data-splitting encoding exploratory-data-analysis forecasting handling-missing-value handling-outlier inner-join matplotlib missing-values multivariate-analysis numerical-data numpy one-hot-encoding outliers pandas seaborn univariate-analysis
Language:Jupyter Notebook