In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
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.