Using Hierarchial clustering to categories the spending of customers into groups based on their spending habit and other features
Establishment of a Model to Define the Impact of Lombardy Region Citizens on PM2.5 Emissions During Their Daily Activities. The project aims to identify environmentally harmful actions and promote a more sustainable lifestyle through a ranking system of citizens. The model is based on the Z-Score Index.
Predict breast cancer in women using KNN model
Real time anomaly detection and visualization
This project analyzes Olympic athlete data from 2008, 2012, and 2016 Summer Olympics, focusing on identifying and understanding outliers in various sports comparing genders based on athletes' physical attributes via using advanced machine learning techniques
Q1. The time required for servicing transmissions is normally distributed with mean = 45 minutes and SD = 8 minutes. The service manager plans to have work begin on the transmission of a customer’s car 10 minutes after the car is dropped off and the customer is told that the car will be ready within 1 hour from drop-off. What is the probability tha
Streaming statistics monitor for WildFly JVMs. Using RabbitMQ and Postgres and visualization in Grafana.
Analyzing Los Angeles crimes dataset
an analysis was conducted on the Wine Data to discern the factors that play a pivotal role in determining the quality of wine. An exploration of the correlations between these attributes and the overall wine quality was undertaken, while considering the interplay with other relevant factors
Scrap a web page's main content based on the z-score (HTML Tags' paths with abnormally long texts will be caught by this method)
This repository contains different statistical methods for Hypothesis testing.
An IoT-based sensor monitoring and anomaly detection system using ESP8266 and MicroPython. Real-time temperature, humidity, and light intensity data is sent to the ThingSpeak cloud and analyzed in MATLAB using Z-score based statistical techniques to identify abnormal sensor behavior.
Auditors at a small community bank randomly sample 100 withdrawal transactions made during the week at an ATM machine located near the bank’s main branch. Over the past 2 years, the average withdrawal amount has been $50 with a standard deviation of $40. Since audit investigations are typically expensive, the auditors decide to not initiate furt…
Statistic monster calculates and draws statistical things and also it helps to traders to analyze market.
Detailed analysis of penguin dataset; K-means clustering and classification models built to predicate penguin features for superior penguin management
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