In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series 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 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.