In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
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 churn project, we implement a churn prediction model in python using ensemble techniques.
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 Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
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 project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
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.
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.