TCS Pune

Machine Learning Movie Recommendation

Engineering Projects›Machine Learning Movie Recommendation
Computer / ITMini Project

Machine Learning Movie Recommendation

Advanced8–11 weeks
Machine Learning Movie Recommendation concept illustration
Illustrative concept image — actual assembly may differ.

Project Overview

Implement collaborative or content-based suggestions on a public dataset.

Objectives

Ratings; recommendation; evaluation

Required Hardware / Software

Python, scikit-learn, pandas

Development Plan

  1. Define project requirements and technical constraints.
  2. Prepare architecture, flowcharts, and component or module list.
  3. Implement the core feature in small verifiable stages.
  4. Test errors, edge cases, and recovery behavior.
  5. Document results and prepare the demonstration and viva.

Testing Checklist

  • Check normal operation and expected output.
  • Test invalid input, disconnections, and relevant fault cases.
  • Record measurements or screenshots as appropriate.
  • Document limitations, security, and operating conditions.

Deliverables

Architecture or circuit diagram, annotated code, screenshots or measurements, test report, documentation outline, and demonstration.

Educational project concept with an illustrative image, not a photograph of a completed customer project. Implementation details must be verified before practical use.

Project CodeTCS-CIT-011
Duration8–11 weeks
DifficultyAdvanced
ComponentsPython, scikit-learn, pandas
Software / ToolsPython, scikit-learn, pandas
Skills CoveredRatings; recommendation; evaluation
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