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 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 develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
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 work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.