Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

Last update: Mar 28, 2022

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Overview

Diabetes

This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type 2 within a five year time span

This is a quick little project involving regression analysis and diabetes. I have created this project to better my understanding of not only the content currently being covered in my anatomy and physiology course, but also to practice working with simple regression models and common libraries.

So far, this model is able to predict values with a ~75% accuracy (not bad given the lack of data and size of the model, but not great). There are several ways to optimize this model. A few I can think of off the top of my head would be gathering more data to train it on, and cleaning the data in a different way (ie... not replacing 0 values with the mean value of that column).

Dataset found on kaggle: https://www.kaggle.com/kumargh/pimaindiansdiabetescsv

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Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

Related tags

Overview

Diabetes

This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type 2 within a five year time span

Owner

moDel Agnostic Language for Exploration and eXplanation

Fundamentals of Machine Learning

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction

Bayesian Modeling and Computation in Python

Learn Machine Learning Algorithms by doing projects in Python and R Programming Language

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Relevance Vector Machine implementation using the scikit-learn API.

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

🤖 ⚡ scikit-learn tips

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

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ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions

Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

Related tags

Overview

Diabetes

This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type 2 within a five year time span

Owner

moDel Agnostic Language for Exploration and eXplanation

Fundamentals of Machine Learning

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction

Bayesian Modeling and Computation in Python

Learn Machine Learning Algorithms by doing projects in Python and R Programming Language

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Relevance Vector Machine implementation using the scikit-learn API.

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

🤖 ⚡ scikit-learn tips

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices

PySpark ML Bank Churn Prediction

Book Item Based Collaborative Filtering

A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts.

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。