{"repo":"SaurabhSSB/statistics_workout","free":true,"listed":false,"github":"https://github.com/SaurabhSSB/statistics_workout","clone":"git clone https://github.com/SaurabhSSB/statistics_workout.git","description":"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.","language":"Python","stars":14,"topics":["cosine-similarity","data-analysis","data-visualization","descriptive-statistics","machine-learning","matplotlib","modified-z-score","numpy","outlier-detection","pandas"],"license":"MIT","category":"machine-learning","readme_excerpt":"📊 statistics workout This repository contains a collection of Python scripts that explore fundamental concepts in statistics using real-world datasets. These exercises cover techniques such as percentile-based filtering, Z-score calculations, modified Z-tests, and cosine similarity, enhanced with data visualization using Seaborn and Matplotlib. 📁 Contents File Name Description ----------- ------------- 1 percentile.py Calculates percentiles and removes outliers based on the 90th percentile of household size. 2 mean absolute deviation standard deviation z value.py Performs outlier detection using standard deviation and Z-scores on BMI data. 3 log.py Visualizes highway population data and introduces logarithmic plotting. 4 Normal.py Plots income vs credit limit with log-scaled axes using Seaborn. 5 cosine.py Demonstrates cosine similarity and cosine distance for basic NLP-like document vectors. 6 modified z test.py Implements both standard Z-score and Modified Z-score methods for income-based outlier detection. modified z score.xlsx Example Excel sheet supporting the modified Z-score implementation. 🔧 Technologies Used - Python 3.x - pandas - numpy - matplotlib - seaborn - scikit-learn 📌 Key Concepts - Descriptive Statistics - Percentile Analysis - Outlier Detection (Z-score, Modified Z-score) - Data Cleaning & Preprocessing - Cosine Similarity & Distance - Data Visualization 🚀 How to Run 1. Clone the repository: 2. Install required libraries: 3. Run any script using: ⚠️ E","default_branch":null,"files":null,"tree":[],"storefront":"/r/SaurabhSSB","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/SaurabhSSB/statistics_workout/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}