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Shivansh Gautam  • Peerlist

This project aims at leveraging machine learning techniques to predict car prices based on various features of the cars. The project utilizes a dataset comprising various car attributes to train multiple regression models. The ultimate goal is to accurately predict the prices of cars based on these features.

Car Price Prediction

This project aims at building a machine learning model for classifying gender based on voice characteristics. The project utilizes a dataset containing acoustic features extracted from voice recordings to train a classification model. The ultimate goal is to accurately classify the gender of speakers based on these acoustic features.

Gender Voice Classification

This project focuses on using machine learning to classify pulsar stars based on radio emission patterns. Pulsar stars, a rare type of neutron star, emit detectable radio emissions as they rotate. Identifying these pulsar candidates amidst noise and interference is crucial for astronomical research. Machine learning algorithms, particularly classification models, are employed to automatically label pulsar candidates and facilitate rapid analysis.

Pulsar Star Prediction

This project aims at leveraging machine learning techniques to predict the risk of heart disease based on its relation to gut microbiome and menstrual cycle. The project utilizes a dataset comprising various physiological and biological features to train multiple classification models. The ultimate goal is to accurately classify individuals as either having or not having heart disease based on these features.