Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
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.
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.
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.