To detect heart disease using machine learning
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Updated
Jun 12, 2024 - Jupyter Notebook
To detect heart disease using machine learning
A Simplilearn class project practicing machine learning classification algorithms.
Joblib-like interface for parallel GPU computations (e.g. data preprocessing)
PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples
in this project we will train models and use them to auto completing texts in persian.
HealthBotML is an intelligent healthcare companion powered by machine learning (ML) and artificial intelligence (AI). With HealthBotML, you can seamlessly check your Body Mass Index (BMI) and engage in informative conversations about various diseases.
Predict whether the domains are real or malicious.
Python utility for fetching any historical data using caching. Suitable for news, posts, weather, etc.
An IA model that detects whether a given verse is from the Bible or not
Student Performance Prediction
Protótipo APP - Machine learning - Streamlit
About Sentiment analysis of customer reviews for various Amazon Alexa products.
Patch joblib to allow nested parallelism
💲🏡Predictor that has multiple options to choose from database, so you can predict the price of your dream home.
Bengaluru House price data Prediction Using ML
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