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.
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, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
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.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.