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CRISP - DM Model Building Using Data Mining

  • July 15, 2023
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Meet the Author : Mr. Bharani Kumar

Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 18+ years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.

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Supervised Learning

If the outcome variable 'Y' in the historical data is known, then supervised learning tasks are applied to the historical data. Predictive modelling and machine learning are other names for supervised learning.

supervised learning

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Supervised Learning has four broad problems to solve:

  • Predict a categorical class: Classification
    • Example: Does the pathology image show signs of Benign or Malignant tumour
    • Is employee 'X' going to Attrite or Not Attrite
  • Predict a numerical value: Prediction (also sometimes called as Regression)
    • Example - What will be the stock value tomorrow?
    • How many Samsung mobile phones will we sell next month?
  • Predict user Preference from a large pool of options: Recommendation
    • Example - Who will be the best match for getting married on a matrimonial website?
  • Predict RELEVANCE of an entity to a “query”: Retrieval
    • Example - Return to the most relevant website in Google search?

supervised learning

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Data Mining-Unsupervised

What is Unsupervised learning?

algorithms that use unlabeled data to derive inferences..

Data that lacks labels are those whose 'Y' output variable is unknown.

Algorithms for unsupervised learning support descriptive analysis.

A few of the algorithms are:

supervised learning

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