Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
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 project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
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 project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.