Stats, linear algebra and einops for xarray

Fit many probability distributions from SciPy to asset returns and rank them.

HISDAC-ES: Creating historical settlement data for Spain (1900-2020) based on cadastral building footprint data

Comparison of A/B Test and Conversion of Bidding Methods

Estimating the distance of clusters by analysing Gaia data

Rating Product & Sorting Reviews in Amazon

python code for extracting data from csv file , using Matlab plot and seaborn Libraries

This is QA-Stocks, an app that tries to predict stocks using SciPy!

Python ile basit derecede veri istatistiği yapmak için bu repo oluşturuldu.

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

практика задач на матстат ||| тервер и матстат в вузе

A Python program to analyze the global average sea level since 1880, and predict the sea level growth at 2050.

All python related content: notes, problems, progress archive.

This repository showcases Python projects completed for a Data Analysis with Python certification, demonstrating skills in data manipulation, visualization, and statistical analysis using libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy.

Fully generalized normal distribution. Flexible in kurtosis and skewness at the same time. Generalized gaussian

Visual probability distribution & L-moment playground, using PyScript

Pandas extension dtypes for statistical distributions

A Two Sample T-Test in Python

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.