Building the machine learning model
We will start building a machine learning model with the help of historical data now with the help of BigML.
Introducing BigML
BigML is a web-based tool to build machine learning models from datasets. BigML has several advantages over other machine learning languages such as R and tools such as RapidMiner, such as:
No local software installation is required. BigML is a web-based tool.
Data processing is done in the cloud, which means you do not have to invest in expensive servers for building the models.
No need to learn a new programming language to build models. BigML is a UI-driven tool.
Model building steps
We will go through six simple steps to build a machine learning model as follows:
Register as a user on the BigML site.
Upload the data file.
Create the dataset with the help of the data file.
Build the classification model using the dataset.
Download the classification model.
Run the model using MapReduce on Hadoop for scoring.
We will now explain these steps...
