Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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 - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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 R -Build a machine learning algorithm to predict the future sale prices of homes.
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.
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.
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.