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AL-702 (C) RGPV B.Tech

Predictive Analytics (PA)

Previous year papers and the official syllabus are free to read, no account needed.

Previous Year Papers

1 paper, latest Nov 2023

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Syllabus, notes and important questions for AL-702 (C)

Syllabus units

Topics as the official RGPV syllabus lists them.

Unit 1 Introduction to Data Products 3 topics
  • Data Product
  • Data Product Examples in Enterprise
  • Developing a Data Product Strategy
Unit 1 notes
Unit 2 Reading Data in Python 8 topics
  • Reading CSV & JSON Files
  • Processing Structured Data in Python
  • Live‑Coding: JSON
  • Extracting Simple Statistics from Datasets
  • Data Processing in Python
  • Data Filtering and Cleaning
  • Processing Text and Strings in Python
  • Processing Times and Dates in Python
Unit 2 notes
Unit 3 Python Libraries and Toolkits 4 topics
  • Matrix Processing and NumPy
  • Introduction to Data Visualization
  • Introduction to Matplotlib
  • urllib and BeautifulSoup
Unit 3 notes
Unit 4 Gradient Descent Classification in Python 3 topics
  • Introduction to Training and Testing
  • Gradient Descent in Python
  • Gradient Descent in TensorFlow
Unit 4 notes
Unit 5 Diagnostics for Data Meaningful Predictive Modelling 7 topics
  • Regression Diagnostic
  • Over‑ and Under‑Fitting
  • Classification Diagnostics: Accuracy and Error
  • Classification Diagnostics: Precision and Recall
  • Codebase for Evaluation and Validation
  • Model Complexity and Regularization
  • Evaluating Classifiers for Ranking
Unit 5 notes
Read the full syllabus

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