In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
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.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
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.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
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 project, we are going to work on Deep Learning using H2O to predict Census income.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.