Implementation of a noise level analysis system for a country. Utilizes both sensor data and computer simulations to analyze noise levels, followed by calculation of key metrics
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Updated
Apr 26, 2024 - C
Implementation of a noise level analysis system for a country. Utilizes both sensor data and computer simulations to analyze noise levels, followed by calculation of key metrics
A machine learning model to predict whether clients of a Portuguese banking institution will subscribe to a term deposit, based on data from direct marketing campaigns involving phone calls.
Python-based ETL pipeline that automates data transfer from Google Sheets to PostgreSQL.
The project utilizes Social Network Analysis (SNA) to comprehensively analyze global air travel dynamics and assess India's position in the aviation market.
The Power BI project on the terrorism dataset offers an interactive and visually engaging data analysis solution. It utilizes charts, graphs, and maps to explore global terrorism incidents, providing insights into patterns, trends, and hotspots.
Operation & Metric Analysis
Uses machine learning to analyze e-commerce data, uncover insights, and offer actionable suggestions
Predicting discounted prices of the listed products from Amazon & Flipkart based on their ratings, reviews and actual prices using models like Random Forest Regressor, KNN Regressor, etc.
Python implementation of K-Means clustering data science algorithm
Analysis of sale price per square foot, gross rent, and available housing units for various neighborhoods in San Francisco.
Our project aims to bring together teachers and students and provide a platform for better connectivity.
This project has all the solutions for weekly Tableau prep challenges from https://preppindata.blogspot.com/.
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