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ONLINE TOOLS MyPortfolio guide MyUnitec Portal Student Email Outlook Ask IMS Ask IMS orientation STUDY SUPPORT ACADEMIC INTEGRITY Library International Maia Maori Student Central (Te Pae Korero) Student Learning and Achievement Study Toolbox The Pacific Centre OTHER SERVICES Career and Study Options CAREER & EMPLOYABILITY Clubs and Sports Health and Safety Reporting Counselling Services Student Reps Student Advocates Scholarships and Awards
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DIGITAL LEARNING Digital Learning Standards Echo 360 Flexible L&T Generative AI for Teachers H5P Interactive Activities SEAtS Staff Guide to Moodle Teaching with Teams (NEW!) OTHER Academic Quality Badges (Teaching Competencies) Collaborative Spaces Moodle role induction Request a new Moodle course Te Rito Suite MyPortfolio
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Lecturer

NS
   Neda Sakhaee
     nsakhaee@unitec.ac.nz

    COMP8811-C11-S1-2024-Data Analytics & Intelligence

    Section outline

    • General
    • Course Information
    • Course Texts
    • Assessments
    • Wk1: Intro to Data Analytics & Intelligence
    • Wk 2: Data Warehousing & Dimensional Modeling
    • Wk 3: Time Series & Machine Learning
    • Wk 4: Expert Systems & Fuzzy Logic
    • Week 3: Time Series and Machine Learning
      •   Preparation for class / Whakaritenga
      • Week 3 - Time Series Lecture notes Lêer
      • Week 3 Day 2 Lecture Notes Machine Learning Lêer
      •   In-class / Akomanga 
      • Time series exercise 1 Lêer
      • Class Activity Compare Models Folder
      • Class Activity - Exercise 1 Lêer
      • Class Activity - Unemployment rate Folder
      • Binary data set for Naive Bayes Classification Lêer
      • Utilities Data set Lêer
      • Cosmetics Data Set Lêer
      •   After class / Whakaharatau
      • After Class Lêer
      • Exercise one answers Lêer
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