Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Last update: Jan 06, 2022

Overview

Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Author @FelixDaudi- Jomo Kenyatta University of Agriculture and Technology- Nairobi, Kenya.

How To Use This

First make sure PostgreSQL and pgadmin is install in your system. then you have to manually create a DB instance on PostgreSQL named "predico", better use PgAdmin for that. make a new environment(recommended) and run...

Run pip install -r requirements.txt to install dependencies
Run python manage.py makemigrations
Run python manage.py migrate
Run python manage.py runserver
Navigate to http://127.0.0.1:8000/ in your browser

Dataset used -

https://www.kaggle.com/neelima98/disease-prediction-using-machine-learning

If you like this project, do give it a "Star" Thank you..

Owner

Felix Daudi

GitHub Repository

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Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Related tags

Overview

Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Author @FelixDaudi- Jomo Kenyatta University of Agriculture and Technology- Nairobi, Kenya.

How To Use This

Dataset used -

If you like this project, do give it a "Star" Thank you..

Owner

Felix Daudi

This project has Classification and Clustering done Via kNN and K-Means respectfully

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Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

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Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Related tags

Overview

Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Author @FelixDaudi- Jomo Kenyatta University of Agriculture and Technology- Nairobi, Kenya.

How To Use This

Dataset used -

If you like this project, do give it a "Star" Thank you..

Owner

Felix Daudi

This project has Classification and Clustering done Via kNN and K-Means respectfully

Machine Learning Study 혼자 해보기

ETNA – time series forecasting framework

Lseng-iseng eksplor Machine Learning dengan menggunakan library Scikit-Learn

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。

AtsPy: Automated Time Series Models in Python (by @firmai)

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Python module for machine learning time series:

TensorFlow implementation of an arbitrary order Factorization Machine

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

This jupyter notebook project was completed by me and my friend using the dataset from Kaggle

AutoOED: Automated Optimal Experiment Design Platform

Python 3.6+ toolbox for submitting jobs to Slurm

It is a forest of random projection trees

stability-selection - A scikit-learn compatible implementation of stability selection

Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any student(s) having the second lowest grade.

The code from the Machine Learning Bookcamp book and a free course based on the book

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。