52 skills found · Page 2 of 2
AllenInstitute / NomenclatureThis repository contains code to generate standardized cell type nomenclature from an R "dendrogram".
HHansi / Embed2DetectPython implementation of Embed2Detect for event detection in social media
ropensci / PhylogramDendrograms for Evolutionary Analysis
jerrylin0809 / Pac Bayesian Dendrogram CutNo description available
NicolasH2 / Ggdendroplotdendrograms in ggplot2.
ronak-07 / Divisive Hierarchical ClusteringIn Divisive we have all points in one cluster initially and we break the cluster into required number of clusters.
tsieger / IdendroInteractive Dendrograms
tpq / Balance[OFFICIAL] [CoDA] An R package to visualize balances of compositional data without dendrograms
pentalibra / GgclusterTools for creating cluster plots, tree plots and dendrograms using ggplot in [R]
miralemd / MekaarogramDisplay a hierarchy in the most amazing way ever!
Aria-Dolatabadian / US Arrests DendrogramNo description available
Mattriks / Heatmap.jlHeatmaps with marginal dendrograms for Gadfly.jl
tsieger / Idendr0Interactive Dendrograms (backport of idendro to Tcl/Tk)
samarjit98 / Cat BreedsCat breed classification using RowCNN and deriving inter-breed relationships
ds-modules / CUNEIF 102AUC Berkeley CUNEIF 102A (Sumerian Text Analysis) Fall 2017
luisgarzac / Data Science Course Udemy Frogames Juan Gabriel GomilaData Science course taught by Juan Gabriel Gomila. Part 1 - Installing Python and packages needed for data science, machine learning, and data visualization Part 2 - Historical evolution of predictive analytics and machine learning Part 3 - Pre-processing and data cleaning Part 4 - Data handling and data wrangling, operations with datasets and most famous probability distributions Part 5 - Review of basic statistics, confidence intervals, hypothesis tests, correlation,... Part 6 - Simple linear regression, multiple linear regression and polynomial regression, categorical variables and treatment of outliers. Part 7 - Classification with logistic regression, maximum likelihood estimation, cross validation, K-fold cross validation, ROC curves Part 8 - Clustering, K-means, K-medoids, dendrograms and hierarchical clustering, elbow technique and silhouette analysis Part 9 - Classification with trees, random forests, pruning techniques, entropy, information maximization Part 10 - Support Vector Machines for Classification and Regression Issues, Nonlinear Kernels, Face Recognition (How CSI Works) Part 11 - K Nearest Neighbors, Majority Decision, Programming Machine Learning Algorithms vs Python Libraries Part 12 - Principal Component Analysis, Dimension Reduction, LDA Part 13 - Deep learning, Reinforcement Learning, Artificial and convolutional neural networks and Tensor Flow
naubuan / BdendroBokeh helpers for visualizing a dendrogram.
jyoketsu / Tree Graph Vuevue Dendrogram Component
evanbiederstedt / Dendsortdendsort: Modular Leaf Ordering Methods for Dendrogram Nodes
kamicollo / IdendrogramInteractive dendrograms using Altair, Plotly and Streamlit
