Large Language Model performing a binary classification task of detecting whether a sarcastic sentence was by a Human or an AI
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Updated
Apr 1, 2023 - Jupyter Notebook
Large Language Model performing a binary classification task of detecting whether a sarcastic sentence was by a Human or an AI
Predicted restaurant closures based on the cuisine, previous inspection grades and location of the restaurant.
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.
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.
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.
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
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.
This is the repo for NLP related tasks for Error and Design issue extraction from the corpus
Error analysis and computation of the matrix Logarithm with some Padè approximation
The project aimed to classify Gutenberg texts accurately. Employing advanced NLP methodologies, it covered collection, preprocessing, feature engineering, and model evaluation for literary work classification. as part of the University of Ottawa's 2023 NLP course.
Error analysis of system mathematical functions, by Gaston H. Gonnet, ETH, Informatik
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