In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
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 machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
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, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
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.