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Last updated: May 20, 2022

Data Mining Tools

After knowing about the techniques of data mining, the next stop is the machine or tool where we can execute the data mining techniques. Data mining tools are like R-studio or tableau where you can frame and execute the data mining techniques, thus creating the data models and also text these models. there are many open source and sophisticated tools. In this, we will be looking at some of them. But before that, we need an introduction to these data mining tools and many more than that. After that introduction, we will take up some of them and discuss them. Here we will be discussing - Rapid Miner, Python, orange, and kaggle.
Tools in Data Mining
In this article, we will learn about various data mining tools. We will also understand the meaning and implementation of data mining.
Rapid Miner EASY
This article will give you a brief overview of the data mining tool– Rapid Miner.
Python in Data Mining EASY
In this article, we will learn how Python is used in various data mining applications.
Orange in Data Mining EASY
This blog mainly focuses on the Orange data mining and data visualisation tool, usage of the Orange, and different features available in Orange.
Oracle Data Mining
In this article, we will learn about Oracle Data Mining. We will also learn about Oracle Data Miner and its features. We will see the various functions and advantages of Oracle Data Mining.
Kaggle EASY
This blog mainly focuses on the concept of Kaggle. We will discuss what the Kaggle is, the importance of the Kaggle in data science, Kaggle competitions, Kaggle datasets, Kaggle notebooks and Kaggle public API.
Introduction to Weka
This article is about Weka and its features, installation process, Weka for data mining and machine learning, and real-life applications.