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 - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.