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Cloud-based ML applications are getting popular as we explore how we can use Big data on the web with RapidMiner. In this tutorial we are going to explore machine learning and deep learning algorithms to build models with Kaggle Notebooks. We will use RapidMiner to explore machine learning algorithms and will build a classifier to identify rockets from the training set by importing the training set as an MDX file and combining a rule based learner and a tree based learner. RapidMiner is a data mining platform from Altair, the pioneers of machine learning. What can you do with RapidMiner? Explore ideas through data mining Build models through data mining Add visualization tools to explore your data RapidMiner offers a wide range of features and tools to help you explore your data, build models and run them. The goal of this tutorial is to find rockets from a large set of videos that can be easily identified from a human eye. By finding rockets in the training data, we will build a model using RapidMiner and then evaluate it on the test set. The RapidMiner platform is a data mining platform that allows you to explore your data, build models through data mining and run the models on data. Introduction This tutorial will use Kaggle Notebooks to explore machine learning algorithms in RapidMiner. We will use the same process to explore data in RapidMiner, as well as data in the Notebooks. We will look at data from the NASA challenge Notebooks, these Notebooks contain a large set of videos with a label for rockets and other missiles. A rocket is something that is fired from a launchpad or space vehicle. These large data sets can be easily imported into RapidMiner as a data set and through the use of features from the RapidMiner data mining workbench, we can identify a rocket in the data set and then build a classifier that can be used in real-world applications. Step 1 – Getting the Rocket Dataset in RapidMiner First, we need to import the rocket dataset into RapidMiner. The dataset is available in the Kaggle Notebook, Rocket Dataset. To import the dataset in RapidMiner, go to Data Management from the RapidMiner menu and then select Import Data. Choose the Notebook and select Rocket Dataset and then click Next. You can download the




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