In this project, we are going to work on Deep Learning using H2O to predict Census income.
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.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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 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 data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.