milaan9/12_Python_Seaborn_Module

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

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TomKellyGenetics/vioplot

Development version of vioplot R package (CRAN maintainer)

Language: R - Size: 4.21 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 27 - Forks: 3

Eriana-129/grafico_violin

Presentación html con scripts de R para poder crear gráficos de violín, usando los datos penguins

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calvin-wirawan/INF4000

Visualisation of birth trends in England and Wales: Relation with age group, deprivation and country of birth

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SeyedMuhammadHosseinMousavi/Comprehensive-Machine-Learning-Techniques-Metrics-Classifiers-and-Evaluation

Comprehensive Machine Learning Techniques: Metrics, Classifiers, and Evaluation

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sgratzl/chartjs-chart-boxplot

Chart.js Box Plots and Violin Plot Charts

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GustavoFacincani/My-Code

Scripts that I've used during grad school for data collection, analysis, visualization, cleaning, wrangling, etc., for classes, project reports, and manuscripts.

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TomKellyGenetics/vioplotx 📦

A development version of the vioplot R package. This has been migrated to "vioplot" as version 0.3.

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somyanagar/airbnb-dashboard

Interactive dashboard app for Airbnb data developed using Python and Dash

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bhattbhavesh91/violin-plot-seaborn

A simple example on creating violin plots using Seaborn library in Python

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Kr1shna304/GRIP_Prediction_Using_Unupervised_ML

This repository contains the file for the task that was done as part of my internship in The Sparks Foundation with specialization - Data Science & Business Analytics.

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sharmaroshan/Online-Shoppers-Purchasing-Intention

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

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vaitybharati/Visualization-Mat_Seaborn

Visualization using Matplotlib and Seaborn

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vaitybharati/P05.-Seaborn-Visualization

Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot

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sadhave2511/Titanic_Kaggle

Employed hyper-parameter tuning (Gridsearch CV) and ensemble methods (Voting Classifier) to combine the results of the best models. Data Cleaning and Exploration using Pandas. Stratified Cross Validation to model and validate the training data

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Abir0810/Analysis_Model_Using_Python

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SAI-SRINIVASA-SUBRAMANYAM/practice-preprofiling-pandas

EDA - Pre processing | Feature Engineering

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nitinh/EDA-Visualization-Matplotlib-Seaborn-Folium

Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium

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versotym/violin

A simple workaround to produce violin plot with highcharts.js

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Stinkender/benchPress

Tidy Tuesday: Bench press results by month (men), 1990-2019

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giocoal/surgery-PROMs-score-and-weather-conditions-data-visualizations

Two Data Visualization about the relationship between PROMs scores after surgery and weather conditions on the day of compilation. Made with the matplotlib library.

Language: Python - Size: 42 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

Defcon27/Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

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gulabpatel/ML_Pipeline

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PatilSukanya/P01.Matplotlib-Seaborn-Titanic-Dataset-Visualization

Used libraries and functions as follows:

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daniel-rojsanch/Gallery-R

:blue_book: Ejemplos de gráficos con R

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SidJain1412/IrisExploration

:notebook: Visualization and training a basic ML model on the Iris dataset

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Ankit152/HaberMan-Dataset

Exploratory Data Analysis on Haberman Dataset

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karan-desai/Exploration-of-Cardiovascular-disease-data

The project explores methods like groupby, melt of pandas and infer information from data of patients having cardiovascular disease and healthy individuals.

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