Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
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, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.