In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
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 project, we are going to work on Deep Learning using H2O to predict Census income.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
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, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.