This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.

An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.

This study focuses on four deep-learning models, which are Inception V3, MobileNet V2, ResNet152V2, and VGG19, aiming to enhance the accuracy of tumor Classification

FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.

The bignumber-utils package empowers developers to effortlessly perform accurate and reliable decimal and non-decimal arithmetic in JavaScript, leveraging the robust foundation of the bignumber.js library.

Testing the consistency of binary classification performance scores reported in papers

High precision and accuracy, open source, online, extensible and low cost homebrew automation on top of ESP8266 microchip.

Data quality estimations for OpenStreetMap

FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.

Trying every Machine learning algorithm on a given dataset and measuring the efficiency.

A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.

Accounting | Bookkeeping Expert (USA) - 8 Years Experience

The Saxon XSLT Processor is using the accurate decimal-based floating-point arithmetic and half-up rounding for VAT rounding according to EU law. According to Europen Norm EN16931:2024

Trustworthy Retrieval Augmented Generation (RAG) with Safeguards

math with more good bits

Multi-class confusion matrix library in Python

A Software Oscilloscope and portable set of data collection and visualization tools

Text-based sentiment analysis plays a very important role in understanding customer opinions and preferences. But despite extensive research in sentiment and emotion analysis in text, a notable gap exists in understanding code-mixed texts. To address this, we propose an end-to-end transformer based model.

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework