Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods
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Updated
Oct 30, 2023 - Python
Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods
Analyze your Facebook Messenger data
Streamlit web application for exploratory data analysis and distribution fitting on CSV files. Built with Python, Plotly, Fitter, Pandas and more. Customizable and well-documented.
Repository For 10 Days Statistics challenge HackerRank
Utilities for Statistics and Data Analysis for Financial Engineering by Ruppert and Matteson
Your daily dose of data science 🧠.
A math library for regression and time series analysis and mathematical statistics
A package for studying how things change together.
Python Package to handle and create Gaussian and Binomial distributions as well.
TF2 stats for top European teams and players
Math Calculator - A comprehensive calculator for Linear Algebra, Calculus, Number Theory, Statistics, Probability, Trigonometry, and Logarithms.
WhatsApp Chat Analyzer
Repository created to store 10 Days of Statistics solutions. This is a set of problems chosen to review many statistics concepts. One problem a day.
A tool framework for bioinformatics written in multiple scientific languages.
Postprocessing for turbulent channel flow
An AP Statistics demonstration with various amounts of dice