SaurabhSSB/statistics_workout
A collection of Python scripts demonstrating core statistical concepts like percentile analysis, Z-scores, modified Z-tests, and cosine similarity with real datasets and visualizations.
This project helps data analysts and researchers understand their datasets better by demonstrating core statistical concepts. It takes raw data, such as household sizes, BMI records, or income figures, and applies methods like percentile analysis and Z-scores to identify outliers and understand distributions. The output includes visualized data and calculated metrics to help make data-driven decisions.
No commits in the last 6 months.
Use this if you need to learn or apply fundamental statistical techniques like outlier detection, percentile analysis, or similarity measurements to real-world data and see the results visually.
Not ideal if you're looking for a plug-and-play application for advanced machine learning models or real-time data processing.
Stars
13
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jul 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SaurabhSSB/statistics_workout"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science