Personal project using Pima Indians Diabetes to analyse it and make predictions using Machine Learning techniques.
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Updated
Feb 20, 2021 - Jupyter Notebook
Personal project using Pima Indians Diabetes to analyse it and make predictions using Machine Learning techniques.
Machine Learning Practice - Diabetes Detection using Python Jupyter Notebook, PIMA Diabetes data etc
My implementation for Logistic Regression and applying it to different data sets.
The goal of this project is to predict whether a patient reported is diabetic or not based on diagnostic measures using a Machine Learning algorithm. We are focusing on KNN Classifier for this problem.
To explore the given dataset for all basic statistics such as the distributions, correlations, outliers, missing values, etc.
An implementation of Stochastic Gradient Hamiltonian Monte Carlo by Gilad Amitai and Beau Coker
Classification of Pima Indian Diabetes dataset using neural networks.
Data Analysis and Classification of Pima Indian Women's Diabetes in 1988
Crystal SHAINet example using Pima Indians dataset for Diabetes
Developed machine learning algorithms in R to classify diabetes in Pima Native American women.
Diabetes Prediction using Logistic Regression & Neural Networks 🏥
Building Artificial Neural Network Using Tensorflow & Keras
Using diagnostic measures to predict diabetes in females +21 years old of Pima Native American heritage.
Predicting whether a person is diabetic or not based on given data using Neural Networks
Decision Tree applied to a diabetes database
Deep Learning Projects
Detailed Exploratory Data Analysis and Diabetes Prediction on PIMA Indian Dataset using machine learning models
We run the dataset of Pima indians through different learnt Machine Learning techniques using R and then interpreting the results in terms of our research questions and purpose. From this, we were able to deduce the best algorithm as well as the most influential variables for the onset of diabetes with proper mathematical reasoning provided.
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