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CS7CS4-202324 Final Assigment

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Machine Learning Final Assignment - CS7CS4/CSU44061

Overview

This repository contains the final assignment for the Machine Learning course (CS7CS4/CSU44061) at Trinity College Dublin, academic year 2023-2024. The assignment is divided into two parts, focusing on the practical application of machine learning techniques and theoretical understanding of key concepts.

Part 1: Dublinbikes Data Analysis (75 marks)

  • Objective: Analyze the Dublinbikes dataset to assess the impact of COVID-19 on city-bike usage.
  • Methodology:
    • Apply various machine learning techniques.
    • Provide a comprehensive explanation of the analysis process.
  • Data: The dataset includes [specify the key features of the dataset].

Part 2: Theoretical Questions (25 marks)

  • Topics include ROC curves, linear regression, SVM and CNN kernels, and k-fold cross-validation.
  • Detailed questions are provided in the assignment document.

Acknowledgements


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CS7CS4-202324 Final Assigment