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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on
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 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.