In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
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.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.