Renato-FS's Stars
krajeshkumar186/Web-Application-for-Anemia-Estimation-for-Patients-Using-Machine-Learning-Model
Computer-aided illness diagnosis is less expensive, saves time, is more accurate, and removes the need for additional personnel in medical decision making. Many nutrition surveys indicate that about a quarter of the world's population is anaemic. As a result, there is a pressing need to create an effective machine learning regressor capable of properly detecting anaemia. The goal is to find out which individual classifier or group of classifier combinations obtain the highest accuracy in Red blood cell categorization for anaemia detection. We used Lasso and Ridge regressions to detect and estimate the anaemia. However, the classifier Ridge performs better achieves an accuracy higher than the Lasso regression. Hence to achieve maximum accuracy in medical decision making, a better and powerful algorithm should be used. The outcomes of this algorithms decides whether the patient is infected with anaemia or not. The proposed version generates a better response to the inputs to confirm the disease.
PabloRR100/Curso-Machine-Learning-Esp
Curso de Machine Learning en Español donde se abordarán los algoritmos de ML más utilizados teóricamente, y se llevarán a la práctica en Python y R
mouredev/Hello-Python
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
joanby/r-basic
Curso de introducción a la estadística descriptiva con R Studio
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
EbookFoundation/free-science-books
Inspired by free-programming-books, here's free-science-books
freeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.