In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.