PCM analysis in Boundary Currents

Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral

This project analyzes tumor cell data from 550 patients using Python. It involves data cleaning, exploratory analysis, feature engineering, and machine learning to classify tumors as malignant or benign. Techniques include PCA, logistic regression, and k-fold cross-validation to ensure model accuracy and reliability.

Web app for identifying a firearm based on a picture

Framework for machine learning with spiking neural networks

Handwritten digits image classification with the MNIST dataset using MultiLayer Perceptron.

Repositorio de actividades del módulo 2 de la materia Desarrollo de Aplicaciones Avanzadas de Ciencias Computacionales.

My portfolio website regarding data science projects. Some visualization and analysis projects reflect work for PITAPOLICY clients.

pH Level Forecasting of Well Water Samples in Malawi, Conducted by Leeds Beckett University

Classification model using sigmoid activation with unknown class data

Duplicate Questions pair is machine learning project with webapp is a classification model. Here concept of NLP is used to work with data set and streamlit is used for webapp.

Mitigating a language model's over-confidence with NLI predictions on Multi-NLI hypotheses with random word order using PAWS (paraphrase) and Winogrande (anaphora).

Analysis and Classification System of Political Texts Using Natural Language Processing - Final Project for the Information Retrieval Course

Credit Card Fraud Detection: An ML project on credit card fraud detection using various ML techniques to classify transactions as fraudulent or legitimate. This project involves data analysis, preparation, and use of models like Logistic regression, KNN, Decision Trees, Random Forest, XGBoost, and SVM, along with various oversampling technique.

🖥️🔍𒀀 -- Web Application to help researchers detect cuneiform glyphs inside images to give transcription.

This is a repository of the personal project within education at University of Mannheim.

The objective of this assessment is to build data science models that yield valuable insights

Fraudulent Activities - anomaly detection

Some exercises codes on basics of machine learning built from scratch with basic libraries like numpy ,math.