Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
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.
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.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.