(Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test

Python DB API client library for CrateDB, using HTTP.

MULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows

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This project performs advanced analysis of sales data across different company branches. It includes data cleaning, calculation of revenue and profit metrics, and visual comparison between branches.

A sophisticated candidate selection algorithm leveraging multi-criteria analysis and machine learning to identify top software engineering candidates. This tool features flexible filtering, score adjustment, and detailed visualizations to streamline the recruitment process.

Python based data analysis of bioFET IV characteristics to extract device metrics

python data analysis using matplot library and numpy

v2.6 refines 3I/ATLAS analysis with automated peak detection, improved Δv modelling, Ni/Fe compositional anomaly, colour–brightness evolution, and multi-station validation of post-perihelion noise events.

Medication Store GUI using tkinter GUI and dataset of medications.

classification / clustering / regression analysis / data mining

Project for the course 02631 Introduction to programming and data processing Fall 21 DTU.

This project involves the cleaning and organization of crime data to ensure consistency and eliminate duplicates. Utilizing Python libraries like Matplotlib and Seaborn, I explored and visualized crime trends, focusing on crimes against SC in India.

Predicting the impact of hybrid work on employee burnout using a Monte Carlo simulation and a custom Bio-Debt Index (SQL & Python).

End-to-end data analytics project tracking global AI adoption across 14 countries, 8 industries & 4 cloud providers (2019–2025) using Python, MySQL and Power BI.

This project performs hierarchical clustering on a dataset containing network usage and performance metrics. It includes data preprocessing, encoding, normalization, and visualization of clustering results using dendrograms. The purpose is to analyze and group similar data points, offering insights into patterns and relationships within the dataset

This repository contains a comprehensive analysis of student progress using various factors like extracurricular activities, parental support, gender, ethnicity, and more. The dataset includes 2,392 students and examines how different variables influence academic performance and participation in extracurricular activities.

🛒 End-to-end Retail Analytics Engine featuring a high-fidelity Dashboard. Apriori/FP-Growth to uncover product associations, validated by Lift, Z-Score metrics for data-driven cross-selling.

Visualization of Netflix's data for movies originally released between 1950 and 2021