PCM analysis in Boundary Currents
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Updated
May 23, 2024 - Python
PCM analysis in Boundary Currents
Web app for identifying a firearm based on a picture
Fraudulent Activities - anomaly detection
Some exercises codes on basics of machine learning built from scratch with basic libraries like numpy ,math.
Build a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets.
A Nodejs server that enables you train, publish and predict a custom vision model that can recognize landmarks on Azure
Repositorio de actividades del módulo 2 de la materia Desarrollo de Aplicaciones Avanzadas de Ciencias Computacionales.
Sentiment Analyst is a tool designed to identify the emotions in a text
This project focuses on the analysis of cyberbullying tweets categorized by various cyberbullying types. Using traditional Machine Learning Models, it aims to predict cyberbullying types in new tweets and provides insightful visualizations through Streamlit.
🖥️🔍𒀀 -- Web Application to help researchers detect cuneiform glyphs inside images to give transcription.
My portfolio website regarding data science projects. Some visualization and analysis projects reflect work for PITAPOLICY clients.
Do you know the probability of traffic incident in the future? Let us to evaluate it.
This code about K-Fold Validation is applied to Logistic Regression.
This web app is a simple Titanic Survival Prediction web app. The web app uses a logistic regression model to predict whether the mail is spam or not.
Repo for the "Building a No-Code Classification Model with Azure Automated ML" hands-on lab.
Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app
Classifying customers based on their credit scores helps banks and credit card companies immediately to issue loans to customers with good creditworthiness. A person with a good credit score will get loans from any bank and financial institution. There for using Machine Learning Algorithms to predict credit score.
Applying Convolutional Neural Networks (CNN) for recognizing manuscript digits.
Análises e implementações de redes neurais, incluindo estudos de caso com conjuntos de dados como diabetes.csv e MNIST. Explore questões teóricas e práticas em aprendizado de máquina e visão computacional.
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