Large Language Model performing a binary classification task of detecting whether a sarcastic sentence was by a Human or an AI

A project to investigate the impact of broken dipole antennas in the Murchison Widefield Array and its ability to detect the 21-cm Power Spectrum.

Predicted restaurant closures based on the cuisine, previous inspection grades and location of the restaurant.

Calculates the mass of an electron from the spectral lines of Hydrogen

MATLAB codes relevant to CS374 course

Automate web-based tasks for data retrieval from specific dashboards with Python scripts developed at Infozillion Teletech BD Ltd. Optimize and analyze MNO and IPTSP files to generate comprehensive reports.

This module explores three different supervised learning algorithms used for classification. It also takes a step-by-step approach to solve a supervised learning classification problem using these algorithms and perform error analysis by comparing the results of the three different algorithms.

Numerical Methods course assignments.

Infinite Matrices and Its Application

Automate the aggregation and analysis of error code data from MNOs and IPTSPs with this Python script, developed at Infozillion Teletech BD Ltd. The script combines, processes, and summarizes data, providing a convenient "Grand Total" overview and generating an output CSV file for further analysis.

Determining the important factors that influences customer's satisfaction of an airline

Numerical methods are a collection of techniques used to find approximate solutions to mathematical problems that cannot be solved exactly. These methods are essential for tackling complex equations and models in various fields such as engineering, physics, and finance.

Regression and Time Series course at IIT KGP

ROC Curve, Precision / Recall, Model Evaluation, Error Analysis. using MNIST dataset

CREAM - Cognitive Reliability and Error Analyis Method

A computational study that ventures into the reduction of the standard error of a Monte Carlo simulation with the example of option pricing.

Evaluates a binary text classification notebook where GenAI misclassified labels. Demonstrating understanding of precision and recall allows for effective problem-solving and proposes threshold adjustments to improve model performance.

Error analysis of system mathematical functions, by Gaston H. Gonnet, ETH, Informatik

This repository contains Python codes for constraining parameters of VCG model by Chi-square minimization method and MCMC (Metropolis Hastings algorithm) using Supernoav data and GW data, and constraining Hubble Constant by least square method, orthogonal regression method and MCMC method using both SN and GW merger data (including newly release…