srikruthi jakkula’s Post

Hii conections Recently I just completed my week 1 assignment of internship at #InternPe Task 1: Make a Diabetes Prediction with ML. In this task I just explore metrics library through which I used to predict the accurate result of a person is diabetic or not.

Hii conections Recently I just completed my week 1 assignment of internship at #InternPe Task 1: Make a Diabetes Prediction with ML. In this task i just explore metrics library through which i used to predict the accurate result of a person is diabetic or not.

Just completed my week 1 task of internship at Internpe Task : Diabetes Prediction with ML #INTERNPE

Hi#connection I just completed my week 1 assignment of internship at #Internpe Task 1: Make a Diabetes prediction with ML In this task i just explore metrics library through which i used to predict the accurate result of a person is a diabetic or not.

Completed Task 1 of my internship at InternPe: Made a Diabetes Prediction using Machine Learning ,We aim to develop a prediction system using machine learning to detect and classify the presence of diabetes in e-healthcare environment using Ensemble Decision Tree Algorithms for high feature selection.Learning and growing with every task! 

I'm happy to share that I have completed my task-3 Heart Disease Prediction under the guidance of Sandip Gavit and TechnoHacks EduTech Official. Task 3 : Heart Disease Prediction Dataset Used :https://lnkd.in/gnvPsK3Y This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to date. #TechnoHacksEduTech #SandipGavit #internship #MachineLearning

Hello,everyone...!! I have successfully completed my week 1 assignment of internship at internPE Task 1: Make a Diabetes Prediction with ML. In this task I just explore metrics library through which I used to predict the accurate result of a person is diabetic or not. #internpe #diabetesprediction

Task 3:Disease prediction from medical data. Excited to share my 3rd task: a Heart Disease Prediction Model as a part of my internship with CodeAlpha .🎉 This model utilizes key health indicators such as chest pain type, cholesterol levels, and blood pressure to accurately predict the likelihood of heart disease. By leveraging advanced classification algorithms, this tool aims to support early diagnosis and proactive healthcare decisions GitHub link-https://lnkd.in/gMSE-VS8 #CodeAlpha #Internship #MachineLearning #Task3

Hello Connections,   I'm Happy to share that I have completed my second task as a part of my Machine Learning Internship program TechnoHacks EduTech Official. Task 2: Heart Disease Prediction The objective of this project is to predict heart disease in patients using machine learning techniques. Patients are classified as having or not having heart disease based on cardiac catheterization, the gold standard diagnostic method. If patients have more than 50% narrowing of a coronary artery, they are labeled as having heart disease.  The dataset comprises four databases: Cleveland, Hungary, Switzerland, and Long Beach V. The "target" field indicates the presence of heart disease, with 0 signifying the absence of disease and 1 signifying its presence. By analyzing these attributes, the project aims to develop a reliable model for predicting heart disease, ultimately contributing to better diagnosis and treatment. This could potentially lead to early detection and improved patient outcomes. Thank You TechnoHacks EduTech Official Guide: Sandip Gavit #MachinLearning #Internship #HappyLearning

This is my first task at my internship at #internpe This code is to make a Diabetes Prediction with ML