Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes
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Updated
Feb 28, 2022 - Jupyter Notebook
Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes
This repository consists of programming projects of my pattern recognition course in which I used libraries like sklearn, Keras, Tensorflow, etc. Also, I am working on MNIST dataset in these projects and using support vector, probabilistic generative model, neural network, etc as learning methods.
This python project explains how to implement sentiment analysis using machine learning (SVM) on amazon Alexa reviews dataset.
GridSearchCV For Model optimization
Prevendo a postura usando traços de personalidade
I participated in the Titanic ML competition where I used machine learning to create a model to predict which passengers survived the Titanic shipwreck.
Predict upper case alphabet using SVM model
Predicting the risk of a person developing the coronary heart disease in 10 years using Machine Learning models.
Scraping data through Instagram and using the data to build a predictive model
Classification Machine Learning project
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
Kaggle Challenge: Bag of words meets bags of popcorn
ML model to predict whether the person has Parkinson's Disease.
Machine learning models that predict whether the customers are happy or not based on survey responses
This repository contains important experiments and notebooks on wine quality analysis, related to the project of real-time wine sensing tool in Software Engineering and Project coursework.
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
Determining movie genres based on synopses, using various NLP methods.
Letter Recognition using SVM
Depression analysis and prediction using posts/comments scraped from Reddit.
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