REST API to analyze Embrapa wine growing data
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Updated
May 28, 2024 - HTML
REST API to analyze Embrapa wine growing data
Data and tools for generating and inspecting OLMo pre-training data.
Real-Estate Price Predictor is a machine learning project developed to assist users in estimating the price of real estate properties based on various features such as location, size, amenities, etc. The project utilizes supervised learning algorithms to train models on historical real-estate data and predicts prices for new properties.
[IN DEVELOPMEN] JavaScript AI engine Focused on simplicity of use
SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)
Crawling, Analyzing, Clustering music data from Spotify API
Stroke-GFCN: segmentation of Ischemic brain lesions
Proyecto de entrenamiento de modelos de IA con aprendizaje por refuerzo (reinforcement learning) en Unity. Corresponde al trabajo práctico grupal de la materia INTELIGENCIA ARTIFICIAL (9525) de la Facultad de Ingeniería de la Universidad de Buenos Aires. Link a la demo (el comportamiento de los agentes puede verse afectado de forma negativa):
To give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. I am considering variables as age, sex, BMI, number of children, smoking habits and living region to predict.
Clone your favorite voice for your script
Code for the KDL presentation at the Creative AI: Theory and Practice symposium
Machine Learning Course - Fall 2022 - Lecturer : Dr. Sajjad Amini
MLP Regression model to predict quantitative data
How to improve a 14% your image matching with only one line of code? BEBLID is the key!
Master's program ''Machine learning and high-load networks'' at the Higher School of Economics.
AI Driven Face Recognizer Model
📊 My trajectory of studies with data science
💡Analyzing customer data to predict decision making
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