Build a predictive machine learning model that could categorize users as either, revenue generating, and non-revenue generating based on their behavior while navigating a website. In order to predict the purchasing intention of the visitor, aggregated page view data kept track during the visit along with some session is used and user information…

SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier

The SER model is capable of detecting eight different male/female emotions from audio speeches using MLP and RAVDESS model

This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes. It employs a Voting Classifier, which combines the predictions of multiple machine learning models, to improve prediction accuracy.

Using the above system, farmers can be guided in the choice of crops to be grown by predicting the suitable ones for a given region by incorporating supervised ML algorithms.

Ensemble Learning to predict whether a patient is diabetic or not.