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, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
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 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 machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
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, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.