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 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 machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
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.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.