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 predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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 data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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 machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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.