![]() We will very soon learn how to inspect and process this loaded data. The contents of the file would be loaded in the WEKA environment. These are available in the data folder of the WEKA installation.įor learning purpose, select any data file from this folder. WEKA installation comes up with many sample databases for you to experiment. Now, navigate to the folder where your data files are stored. A directory navigator window opens as shown in the following screen − Just under the Machine Learning tabs that you studied in the previous lesson, you would find the following three buttons −Ĭlick on the Open file. In this chapter, we will see all the three options of loading data in detail. The data can be loaded from the following sources − In this chapter, you will learn how to preprocess the raw data and create a clean, meaningful dataset for further use.įirst, you will learn to load the data file into the WEKA explorer. This is because the raw data collected from the field may contain null values, irrelevant columns and so on. This is common to all algorithms that you would apply to your data for building the model and is a common step for all subsequent operations in WEKA.įor a machine learning algorithm to give acceptable accuracy, it is important that you must cleanse your data first. ![]() In this chapter, we start with the first tab that you use to preprocess the data.
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