In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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 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.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.