In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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 project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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.