A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

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• Updated Mar 21, 2026
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Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame.

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• Updated Aug 18, 2019
• Jupyter Notebook

Pure python statistic tools for high energy physics.

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• Updated Nov 12, 2019
• Python

Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.

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• Updated Aug 20, 2021
• Python

A complete Data Science Roadmap — from coding, math & stats to ML, DL, deployment, and projects. Beginner-friendly, practical, and curated to help you build skills, portfolio, and confidence.

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• Updated Dec 1, 2025

CSE303 Lab Problem Solving apart. This course is really helpful for real life.

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• Updated Apr 30, 2022
• Python

Examples on Descriptive Statistics and Linear Algebra in Python

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• Updated Mar 16, 2020
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Python ile basit derecede veri istatistiği yapmak için bu repo oluşturuldu.

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• Updated Mar 7, 2024
• Python

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• Updated Jan 5, 2026
• Python

This module covers the formal topic of statistics and its relevant concepts. It covers a number of theoretical discussion points and examples and hands-on coding activities to help understand theory.

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• Updated May 14, 2020
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"Applied Data Science Program - Leveraging AI for Effective Decision Making" course by MIT-PE

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• Updated Nov 28, 2024
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Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical validation following Ginzburg's (2024) framework. Jupyter Notebook based.

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• Updated Jun 22, 2025
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Métodos Estatísticos com Python.

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• Updated Feb 19, 2022
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Repositório destinado a documentar o conhecimento em Python sobre estatística, mais aprofundado em frequências e medidas, utilizando as bibliotecas Numpy, Pandas, Seaborn e Scipy.

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• Updated Aug 6, 2022
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Marketing A/B testing and statistical inference for campaign optimization.

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• Updated Nov 6, 2025
• Python

Seasonality of global interest in Japan and the Japanese language, from 10.6 years of Wikipedia pageviews across 19 pages. Statistical analysis.

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• Updated Aug 10, 2026
• Python

Cookie Cats tested whether moving the progression gate improved player engagement and retention 📱🎮

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• Updated Jul 25, 2026
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