Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
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.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
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.