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.

Backend for the EvoPPI application

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

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.

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.

An analysis of the effects of Sustainable Development Goals (SDGs) on life expectancy around the world.

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 ).

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

Classifying tweets as Racist and Non-Racist using FIVE different algorithms and performing comparative analysis among the algorithms in terms of accuracy and time.

Conducting a comparative analysis of CNN architectures trained on the CiFar10 dataset

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.