Publications by University Solutions Hub
Week 4 BDT
University Solutions Hub provides Big Data Tools Week 4 solution (Big Data Tools). Homework # 4 : Initial Analysis Use the correct command to show the Spark Web interface with the first tab selected. Discussions: Read this article. Write at least 500 words discussing the advantages and disadvantages of each method. There are interesting insigh...
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Week 5 BDT
University Solutions Hub provides Big Data Tools Week 5 solution (Big Data Tools). Homework # 5 : Data Wrangling Create a new connection to your Spark cluster -. sc Make sure that you are using the correct version of Java Execute the following code: summarize_all(cars, max) summarize_all(cars, min) summarize_all(cars, mean) summarize_all(ca...
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Week 1 BDT
University Solutions Hub provides Big Data Tools Week 1 solution (Big Data Tools). Homework # 1: Install R and R Studio. Install R and R Studio. Discussions: Write at least 500 words on what ‘Big’ means in Big Data. What exposure have you had to Big Data? Use at least three sources. Include at least 3 quotes from your sources enclosed in q...
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Week 2 BDT
University Solutions Hub provides Big Data Tools Week 2 solution (Big Data Tools). Homework # 2 : Spark Install Following the instrutions in the book, install the sparklyr library and a Spark cluster on your local machine. The instructions in the book contemplate that you will be using Windows. If you are not running Windows, use a virtual ma...
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Week 3 BDT
University Solutions Hub provides Big Data Tools Week 3 solution (Big Data Tools). Homework # 3 : Initial Analysis After installing the dplyr library, use the following code in R studio, create a scatter plot of hp v. mpg cars2 <- copy_to(sc, mtcars) cars3 <- as.data.frame(cars2) cars4 <- select(cars3, hp, mpg) cars5 <- sample_n(cars4, 32) cars...
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Week 9 ML
University Solutions Hub provides Machine Learning Week 9 solution (Machine Learning). Week 9: Preventing Overfitting for Regression Problems Nutrition Case Study The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XG...
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week 10 ML
University Solutions Hub provides Machine Learning Week 10 solution (Machine Learning). Week 10: Preventing Overfitting for Regression Problems Nutrition Case Study Write a formal report on your findings from the last several weeks for the regression problem of the Nutrition Case Study. A sample template for the final report is provided that con...
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Week 11 ML
University Solutions Hub provides Machine Learning Week 11 solution (Machine Learning). Week 11: Unsupervised Learning using Dimension Reduction MNIST / Fashion MNIST image data The main objective is to write a fully executed R-Markdown program performing dimension reduction on a high dimensional image data using MNIST (digits) and Fashion MNIS...
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Week 15 ML
University Solutions Hub provides Machine Learning Week 15 solution (Machine Learning). Week 15: Human Activity Recognition Case Analysis Human Activity Recognition Case Study The objective is to write a formal analysis report finishing the objectives set forth in the final case analysis document. A sample template for the final report is provi...
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Week 12 ML
University Solutions Hub provides Machine Learning Week 12 solution (Machine Learning). Week 12: Unsupervised Learning using Dimension Reduction MNIST / Fashion MNIST Image Data The main objective for this week is to write a fully executed R-Markdown program performing clustering using SOM and LLE on the image data containing MNIST (digits) and...
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