Siba Prasad Das's Projects
Used Gradient Boosting Algorithm to build an model that can predict airline passenger is satisfied by services provided or not & accordingly airline officials would take steps imrove passengers exprience.
Bank Note Authentication is an streamlit powered application which uses machine learning algorithm to detect fake notes.
Basic project which focusses on implementation of principles of machine learning life cycle and building an end to end deployed project.
Using logistic regression developed an ml model that can predict whether a person has heart disease or not. further i had integrated the model with the UI designed using streamlit framework.
Using logistic regression algorithm developed an ml model that can predict whether a person has heart disease or not. Further created an UI using streamlit framework where doctors can give input data for patient and on clicking submit button model will return the result.
This was an basic project with an aim to implement Artificial Neural Network to build an model to predict customer churn
Using K-Means Clustering Algorithm , Clustered the customers based on their spending score and annual income.
I had used support vector machine algorithm and Streamlit (open source framework) to built an ML based web app that will take some parameters as input and will predict whether the person is diabetic or not.
Using support vector machine algorithm , I had built an ML model with an accuracy score of 79.88% that can predict whether a person is diabetic or not
Developed a ML based diagnostic web app that will take the input medical parameters from diagnostician & will make an accurate prediction about condition of the patient.
This is a ML model that uses linear regression algorithm to predict calorie burnt
This is a ML model that uses linear regression algorithm to predict the calorie burnt from a random input dataset.
AI-powered diagnostics is a field of healthcare that utilizes artificial intelligence (AI) and machine learning algorithms to assist healthcare professional in diagnosing medical conditions and diseases.
Developed Healthify an web app that will take some parameters as input from user side & can tell about user's BMI , Waist-Hip-Ratio, Blood Pressure which serve as health index of any person. By knowing this person can plan about their healthcare hence my app name is Healthify.
Using logistic regression algorithm predicted employee retention for a company.