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Data mining hacks 101: Listing down best techniques for beginners

Data Science Dojo

Data mining has become increasingly crucial in today’s digital age, as the amount of data generated continues to skyrocket. In fact, it’s estimated that by 2025, the world will generate 463 exabytes of data every day, which is equivalent to 212,765,957 DVDs per day!

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Understanding Associative Classification in Data Mining

Pickl AI

Summary: Associative classification in data mining combines association rule mining with classification for improved predictive accuracy. Despite computational challenges, its interpretability and efficiency make it a valuable technique in data-driven industries. Lets explore each in detail.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. appeared first on IBM Blog.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Learn more about IBM Watson Assistant The post Leveraging user-generated social media content with text-mining examples appeared first on IBM Blog.

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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

Machine Learning algorithms, including Naive Bayes, Support Vector Machines (SVM), and deep learning models, are commonly used for text classification. Text Mining Tools and Libraries Various tools and libraries have been developed to facilitate text-mining tasks. Can text mining handle multiple languages?

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Classification vs. Clustering

Pickl AI

Certainly, these predictions and classification help in uncovering valuable insights in data mining projects. While Classification is an example of directed Machine Learning technique, Clustering is an unsupervised Machine Learning algorithm. Hyperplanes are useful in separating the data points into groups.

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Text Classification Using Machine Learning Algorithm in R

Heartbeat

Because of the package’s emphasis on tidy data, it is both a user-friendly option for those new to text analysis, and a valuable tool for experienced practitioners. Data mining, text classification, and information retrieval are just a few applications. References Nagesh, Singh Chauhan. References Nagesh, Singh Chauhan.