Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
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.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
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.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
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 project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.