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DS-U4-Objective

Unit 4: Predictive Data Analytics with Python - Overview

Objective:

The objective of this unit is to equip students with a comprehensive understanding of predictive data analytics using Python. The unit aims to provide both theoretical knowledge and practical skills required to perform data preprocessing, apply predictive modeling techniques, and use essential Python libraries effectively. By the end of this unit, students should be able to:

  1. Understand the fundamental concepts of predictive data analytics.
  2. Utilize essential Python libraries for data analysis and machine learning.
  3. Perform data preprocessing tasks to clean and prepare data for analysis.
  4. Apply various predictive modeling techniques to analyze and interpret data.
  5. Implement algorithms for regression, classification, and association rule learning.
  6. Use Scikit-learn to build and evaluate predictive models.

DS-U4-Broader OverviewDS-U4-Broader OverviewUnit 4, titled "Predictive Data Analytics with Python," is designed to provide a comprehensive understanding of how Python is utilized for predictive analytics. This unit builds on the foundational knowledge of data analytics, advancing into more specialized techniques and tools for predictive modeling. By dissecting the topics outlined, we can appreciate the structured approach to learning predictive analytics, from the basics of Python and its libraries to the application of sophisticated anal DS-U4-Deatiled DraftDS-U4-Deatiled DraftDetailed Draft of Unit 4: Introduction to Predictive Data Analytics Definition**: Predictive analytics is the process of using historical data to make predictions about future events. It involves statistical algorithms and machine learning techniques to identify patterns and trends. Importance**: Predictive analytics is crucial in various fields such as finance, healthcare, marketing, and more. It helps in decision-making, risk management, and strategic planning. Essential Python Libraries N