Analyze graph/hierarchical performance data using pandas dataframes
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Updated
Feb 7, 2025 - Python
Analyze graph/hierarchical performance data using pandas dataframes
Microbial Genome Circular plotting tool for comparative genomics using Circos
A python tool to do comparative analysis of mulitple single cell datasets.
A comparative analysis of best Classification method for Winsconsin Breast Cancer Data.
Performed univariate and bivariate analysis to understand the features and their relationships for loan approval prediction. Achieved highest accuracy of 98% for Extreme Gradient Boosting among all tested machine learning classification models.
The method extracts representative keywords for each document in a collection using comparative analysis
An information retrieval system for a comparative analysis of TF-IDF and BM25 ranking mechanisms
Welcome to fibonacci-for-fun! Here, I show off some of my Java skills and C++ skills and Python skills! I am replicating the sacred "Fibonacci Sequence" with all 3 of the mentioned languages using recursion... that's right - recursion.
A comparative analysis of stratified vs. mega analysis strategies for GWAS.
Classifying tweets as Racist and Non-Racist using FIVE different algorithms and performing comparative analysis among the algorithms in terms of accuracy and time.
This project is a dataflow application that fetches Google Search Trends using Fluvio.
This Python project simulates and compares the performance of PRT pods vs. buses using NetworkX for routing, SQLite3 for state persistence, and Matplotlib for result visualization. Five experiments test different passenger demand patterns and network configurations, offering insight into urban transport optimization.
5 pathfinding algorithms and a simple visualizer with random obstacles
An easy implementation of the Genetic Algorithm for the Eight Queens Problem and some improvements to the basic design for faster convergence to a possible solution. The project also offers a short comparative study on the performance of the two versions of algorithms and possible reasons for the same.
A comparative analysis of state-of-the-art CNN and transformer architectures for an image classification problem.
A webpage that compares many files with a settable percentage yield. The application will provide highlighted visuals of differences across files.
Pipeline for comparative analysis of potentially unlimited number of RepeatExplorer runs
A comparative analysis between the Big Three Anime. ~1800 reviews
This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.
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