Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
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 deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project, we are going to work on Deep Learning using H2O to predict Census income.