Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.
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 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 data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
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.