Github Datascienceworkss Machine Learning

Github Dsirisha9028 Machine Learning Contribute to datascienceworkss machine learning development by creating an account on github. 🌎 my areas of interest are : machine learning, deep learning, data science, nlp, artificial intelligence. 🏢 i’m currently working with ibm as an ai engineer.

Datascience And Machine Learning Github An in depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. 🟣 data scientist interview questions and answers to help you prepare for your next machine learning and data science interview in 2025. A health risk prediction platform using flask and machine learning to predict heart attacks, kidney disease, liver disease, and diabetes. features a user friendly interface with html, css, and javascript, along with secure authentication, encrypted passwords, and session management. It contains all the supporting project files necessary to work through the course from start to finish. to get started with the project files, you'll need to: the data science workshop equips you with the basic skills you need to start working on a variety of data science projects.

Github Seredak319 Machine Learning The Project Was Carried Out At A health risk prediction platform using flask and machine learning to predict heart attacks, kidney disease, liver disease, and diabetes. features a user friendly interface with html, css, and javascript, along with secure authentication, encrypted passwords, and session management. It contains all the supporting project files necessary to work through the course from start to finish. to get started with the project files, you'll need to: the data science workshop equips you with the basic skills you need to start working on a variety of data science projects. Contribute to datascienceworkss machine learning development by creating an account on github. These github repositories offer a diverse array of tools and libraries for various machine learning tasks, from model building and training to interpretation and deployment. This project implements a machine learning based application to predict the productivity of garment workers. the application offers a user friendly web interface where users can enter work related factors and receive an instant productivity prediction. Data science and machine learning has 29 repositories available. follow their code on github.