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Projects in Awesome Lists tagged with distplot

A curated list of projects in awesome lists tagged with distplot .

https://github.com/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.

barplots boxplot data-visualization distplot facetgrid heatmap ipython-notebooks lmplot python-seaborn python-visualization python4datascience python4everybody scatterplot-visualization seaborn seaborn-image seaborn-plots seaborn-tutorial stripplots tutor-milaan9 violinplot

Last synced: 06 Apr 2025

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-1-q21_b--basic-statistics-level-1

Q21b) Check Whether the Adipose Tissue (AT) and Waist Circumference(Waist) from wc-at data set follows Normal Distribution Dataset: wc-at.csv

distplot matplotlib-pyplot mean median pandas python seaborn

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-1-q21_a-basic-statistics-level-1

Q 21) Check whether the data follows normal distribution a) Check whether the MPG of Cars follows Normal Distribution Dataset: Cars.csv

distplot matplotlib-pyplot mean median pandas python seaborn standard-deviation

Last synced: 27 Feb 2025