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.
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 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.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.