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 develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
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.
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 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.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.