In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
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 human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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 Python- Build a machine learning algorithm that automatically suggests the right product prices.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.