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AI-Based Prediction Model using Machine learning


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Course Content


About Course

Artificial intelligence

AI is one of the most paramount technologies driving the fourth industrial revolution through machine learning and deep learning. Machine learning has enormous potential and uses cases across businesses, including retail, security, healthcare, and transportation. artificial intelligence (AI), is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

Machine Learning

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. Many of today’s leading companies, such as Facebook, Google, and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.

How machine learning algorithms can predict?

ML offers smart solutions for organizations that want to implement decision processes that are just too complex to be manually coded. Machine-learning algorithms can learn from and make predictions on data, and data-driven decisions.

Learning Objectives

  • How to collect data
  • Data preprocessing
  • Features column and Target column
  • Dataset split into test and train
  • Apply machine learning classifier


Guidelines for IOU Learners

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What to learn?

After completing this course you will learn how to make a google survey form for data collection, manage google form response, data preprocessing and make a clean dataset, and finally how to apply a machine learning classifier to the dataset and make a prediction model.


  • Computer Science or related dept students
  • How has basic knowledge of python programming language


Tanveer Hasan
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3 Courses

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