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.
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 talk about H2O and functionality in terms of building Machine Learning models.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
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 ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.