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.
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 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.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.