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BCO6008 Predictive Analytics

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This assignment will be based on skills and knowledge attained from workshop related to using Python programming activities and based on a given case. The workshops (in the tutorial sessions) will be based on two types of activities, such as big-data analytics activities using Anaconda functions; real-world case data (downloading from Kaggle.com or other cloud-based databases) for studying predictive tasks (e.g. classification, regression, clustering) for developing modeling solutions. It is important that in a group of 3, you develop skills to visualize, treat and model the complex data in classes.

You skills and learning will be centered to enable creative thinking to investigate, analyse and synthesise complex datasets aligning to any business decision making problems in order to develop and present useful materials that will have professional value.  

After successfully completing this assessment task, you should be able to:

1. Demonstrate contextualised knowledge and understanding of analytics modeling related topic data

2. Justify, analyse and reflect on professional data analysis knowledge and use different predictive modeling tools

3. Communicate skills and critically analyze data and knowledge of analytics modeling both in coding and reporting for academic community

BCO6008 Predictive Analytics

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Tellus molestie nunc non blandit massa enim nec dui. Tellus molestie nunc non blandit massa enim nec dui. Ac tortor vitae purus faucibus ornare suspendisse sed nisi. Pharetra et ultrices neque ornare aenean euismod. Pretium viverra suspendisse potenti nullam ac tortor vitae. Morbi quis commodo odio aenean sed. At consectetur lorem donec massa sapien faucibus et. Nisi quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Duis at tellus at urna condimentum mattis pellentesque. Vivamus at augue eget arcu dictum varius duis at. Justo donec enim diam vulputate ut. Blandit libero volutpat sed cras ornare arcu. Ac felis donec et odio pellentesque diam volutpat commodo. Convallis a cras semper auctor neque. Tempus iaculis urna id volutpat lacus. Tortor consequat id porta nibh.

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Brief Revision of Correlation

PSYU3332/PSYX33322021Lecture 2, Part 21PSYU3332/PSYX3332 Principles of Psychological AssessmentLecture 2, Part 2: ReliabilityDr Lorna Peters1Judging the quality of a testA test provides an objectivemeasure of a sample of behaviour via uniformity of•Administration•Scoring•InterpretationA good ...

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Content Validity

PSYU3332/PSYX33322021Lecture 3 Part 21PSYU3332/PSYX3332 Principles of Psychological AssessmentLECTURE 3 PART 2: VALIDITYDr Lorna Peters1•Reliability tells us about consistency of measurement while validity tells us about accuracy of measurement•Reliability is a necessary but not sufficient condi ...

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stat 429 statistics

To investigate the association between the education level of mother at child-birth (yschool, theexplanatory variable) and the age of mother at birth of child (agemth, the response), we fit a simple1 linear regression (SLR) model using the ordinary least squares (OLS) criterion after examining thes ...

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Problematic Internet Use

Full length article Personality, fear of missing out and problematic internet use and their relationship to subjective well-being Holly Stead, Peter A. Bibby * School of Psychology, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom article info Article history: Received ...

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