FIT5202 Data processing for Big Data Assignment 1: Analysing Flight delays Dat

Monash University FIT5202 – Data processing for Big Data Assignment 1: Analysing Flight-delays Data Due Date : 5th September Sunday, 11.00pm Weight : 10 percent of the total mark Background The flight-delays prediction dataset has become one popular dataset used by the aviation industry to predict the delay given the historical flight data. Learning from […]

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FIT5202 Data processing for Big Data Assignment 2B: Real time stream processin

Monash University FIT5202 – Data processing for Big Data Assignment 2B: Real-time stream processing on big data Due Date : Sunday, 17th October 2021 11:00 pm Weight : 10% percent of the total mark Background Required datasets (available in Moodle): – A compressed file flight-delays.zip. – This zip file consists of 21 csv files and

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FIT5202 S1 2021 Sample Exam Question

Question 1 Aditya and David are the first-year data science students with Monash University. They are discussing how parallel and distributed processing can help data scientists perform the computation faster. They would like your help to understand and get answers to the following questions: 1. Using the current processing resources, we can finish processing 1TB

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FIT5202 Data processing for Big Data

Monash University FIT5202 – Data processing for Big Data Assignment 2A: Analysing Flight-delays Data (Preprocessing, Visualization, Data Modelling) Due Date : Sunday, 26th September 2021 11:00 pm Weight : 10% percent of the total mark Background The flight-delays prediction dataset has become one popular dataset used by the aviation industry to predict the delay given

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CS320 P7

P7: Selling Laptops: Smart Marketing Corrections/Clarifications You are the owner of a retail website. You’re planning on running a promotion on a laptop and you want to send emails out about it. However, you only want to send it to people that may be interested in it so as not to annoy people that aren’t

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TK3163 Project 2 JFlex

Sem 2 2022/2034 June, 2023 Programming Project : Lexical Analysis using JFlex. For the first task of the frontend, you will use JFlex to create a scanner for the Ruby on Rails programming language. Your scanner will transform the source file from a stream of bits and bytes into a series of meaningful tokens containing information that will be used

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Homework 4

Homework 4 starter code dense data In this homework, we will implement an object detector from scratch. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. We will

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Homework 3

Homework 3 starter code data dense data In this homework, we will use all the trick at our disposal to tune a classification network on supertux. We then make this classification network fully convolutional and solve a semantic labeling task (labeling every pixel in the image). This assignment should be solved individually. No collaboration, sharing

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