Primitive functions for speeding up elements of a phylogenetic comparative workflow

Pipeline for comparative analysis of potentially unlimited number of RepeatExplorer runs

A comparative analysis of machine learning models for house price prediction.

This is a comparative look at writing a todo program in Java (Object-Oriented Programming) and Python (Imperatively).

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.

This project serves as a hands-on learning experience for practical concepts in JavaScript. The key focus areas in this project include: Object, data structures, Loop structures, Function creation, Comparative, operators.

This model utilizes regression models and accurately predicts employee salaries based on experience, previous CTC, and job roles, promoting fair salary structures and optimizing resource allocation for streamlined HR operations.

DEGage is a novel model-based method for gene differential expression analysis between two groups of scRNA-seq count data. It employs a novel family of discrete distributions for describing the difference of two NB distributions (named DOTNB).

Forecasting customer traffic of a specific form of transportation using SEVEN different forecasting methods based on past traffic data and performing comparative analysis in terms of RMSE.

This project focuses on analyzing portfolio returns using Fama-French factors, comparing two distinct investment strategies.

This project involves a comprehensive comparative analysis of various machine learning models to classify activities based on a given dataset. The analysis follows a structured approach, including data exploration, model training, model evaluation, and results interpretation to identify the best performing model.

Backend for the EvoPPI application

A comparative analysis of various ML models for predicting floods in India, primarily utilizing rainfall data(in mm).

Performing a comparative analysis of machine learning and deep learning models for Credit Card Fraud Detection in Python

The DOTNB repository is a collection of code files that implement DOTNB across several programming languages. The DOTNB is the distribution for the Difference Of Two Negative Binomial distributions, i.e., Z=X-Y ~ DOTNB (λ_1,λ_2,p_1,p_2), where X ~ NB(λ_1,p_1 ) and Y ~ NB(λ_2,p_2 ).

A webpage that compares many files with a settable percentage yield. The application will provide highlighted visuals of differences across files.

Explore the cinematic realms with this dynamic Power BI dashboard offering in-depth insights into key performance indicators, financial metrics, and audience reception, enabling a captivating comparison between the iconic Marvel and DC franchises.

This model utilizes regression models and accurately predicts employee salaries based on experience, previous CTC, and job roles, promoting fair salary structures and optimizing resource allocation for streamlined HR operations.

This project utilizes the YouTube API to gather and compare detailed statistics from two YouTube channels. By focusing on various key metrics, the analysis provides a comprehensive comparison between the channels.

Finds the BST optimal using a dynamic and a greedy algorithm. Analyze both trees and processing time of the solution (on Latex document).