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LET'S PREDICT YOUR MARKS.

The “Marks Prediction App” is a Streamlit application that utilizes the Linear Regression algorithm to predict the marks obtained in an exam based on the number of hours studied. The app allows users to input the number of hours studied, and the app will predict the expected marks based on a linear relationship established between the two variables. The Linear Regression model is trained on a dataset of student study hours and corresponding exam marks, which allows it to make accurate predictions for new data points.

Predicting Diabetes

The “Diabetes Prediction App” is a Streamlit application that utilizes the Random Forest Classifier algorithm to predict whether a person has diabetes or not. The app allows users to input various health-related information such as blood pressure, glucose level, age, and BMI, and the app will predict the likelihood of the person having diabetes. The Random Forest Classifier model is trained on a dataset of patient information and corresponding diabetes labels, which allows it to make accurate predictions for new data points.

Salary Estimator

The “Salary Prediction App” is a Streamlit application that utilizes the Multiple Linear Regression algorithm to predict an individual’s salary based on various features such as years of experience, education level, and job type. The app allows users to input the relevant information and the app will predict the expected salary. The Multiple Linear Regression model is trained on a synthetic dataset of employee information, which allows it to make accurate predictions for new data points.