Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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 NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
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 data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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 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.
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.