normal-approximation

Here are 3 public repositories matching this topic...

statmlben / rankseg

RankSEG: A consistent ranking-based framework for segmentation

machine-learning deep-learning statistical-learning pytorch calibration neural-networks segmentation gpu-computing adaptive image-segmentation semantic-segmentation cityscapes object-segmentation jmlr voc2012 normal-approximation

Updated Dec 30, 2025
Jupyter Notebook

LKEthridge / SDA_Project

Star

A Statistical Data Analysis project from TripleTen

Updated Jan 20, 2025
Jupyter Notebook

MahtabEK / Intro-to-Datascience

Star

In this project, you can find the use of data analytics techniques such as loss functions, predicting outcomes using provided dataset, visualization, simple linear model, model selection, confidence interval, bootstrap, and etc.

visualization bootstrap evaluation prediction model-selection confidence-intervals inferential-statistics association linear-models loss-functions test-split-accuracy normal-approximation absolute-values

Updated Oct 14, 2020
Jupyter Notebook

Improve this page

Add a description, image, and links to the normal-approximation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the normal-approximation topic, visit your repo's landing page and select "manage topics."

Learn more