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BIST 515: Introduction to Statistical Software Final Exam Due date: Friday, December 21 All data sets you need for the exam can be found as separate worksheets in the Excel workbook; import them as needed. Any data manipulation must take place within your SAS programs. You need to rovide code, output, and answers in either […]
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Project 5 Back-end Form Validation & Saving to a Database Overview and Objective In this project you will be adding to the form you created in the previous homework: your form will actually submit its data to the server. Once the server has received and validated the data, instead of just saying, ’Thanks!’ and then
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Microsoft Word – Ruby Assignment.docx COM1001 – Introduction to Software Engineering – Semester 1, 2018 Individual Assignment – ‘Todo List’ Ruby Programming 1. Background In this assignment, you will be applying the concepts practiced in the lab sessions over the semester on a Ruby programming example. This is an individual assignment, so you are required
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Coursework 2 MN-3024 The ‘Hepatitis’ Data set (provided in arff. format is available on the Blackboard) contains information about patients affected by the Hepatitis disease. The task is to predict if these patients have or have not hepatitis (Histology: Yes or No). You should use the Weka data mining package, which is installed in the
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TEMASEK POLYTECHNIC TEMASEK POLYTECHNIC SCHOOL OF INFORMATICS & IT DIPLOMA IN BIG DATA MANAGEMENT & GOVERNANCE AY 2018/2019 Oct Semester Programming for Big Data CIG2C02 Assignment (70%) AY2018/2019 Oct Semester Programming for Big Data (CIG2C02) Page 1 Table of Contents 1. 2. 3. 4. 4.1 4.2 5. 5.1 5.2 Annex A – Cover Page Sample
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Econ 5121 Problem Set 3 (Due on Dec 5 (section C) and Dec 6 (section B)) We encourage team collaborations in this problem set. Each team can consist of at most 5 students and each team only submit one copy of answers. All answers should be machine-typed. The top 3 teams which provide the most
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Final Project Final Project Guidelines and Evaluation Criteria Sections: 1. Standard final projects guidelines 2. Data set selection 3. Include three supervised learning models taught in class 4. Provide and describe a variety of quality graphics used for data exploration. 5. Optional inclusion of clustering methods and graphics 6. What to include in the report
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DA 101 Final Project Part 1: Data tool glossary and exploratory analysis (Individual*) Here, the objective is to demonstrate mastery of the skills and tools you’ve developed. This is helpful as a means to review your skills all in one place and be able to use them in a context of your own choosing. On
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Cologne Center for Comparative Politics Introduction to Quantitative Analysis Bruno Castanho Silva Bonus points assignment #2 – Predictive Modeling This assignment can give you up to 6 bonus points, on top of the total maximum of 100 for this course. The deadline is on December 11, 23:55 CET. NB! The deadline changed because the data
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FIN330: Advanced Methods Final Project – Fall 2018 due at 12pm Tuesday December 11, 2018 Please submit your project report to the blackboard course site, by 12pm Tuesday December 11, 2018. ******************************************** One of the goals in movie industry is to produce successful movies. A successful movie is often considered as generating revenues. Can information
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