by admin | Dec 1, 2022 | Python
Write a Spark Structured Streaming program in Google Colab as shown in the last class (Nov 22). Use readstream to listen to a folder, named “listener”. You will upload files one by one, as attached with this assignment. Read the attached csv files with proper schema. Then write a query to find id, first_name, and email for those who has ” id<10 or id>990″. Store your query output into a result directory. Submit your program in a word or pdf file. The program should contain your name and student id. Also submit a screenshot showing your query output.
by admin | Dec 1, 2022 | Python
Please use python to do this lab. All questions and needed info are in the link below.
https://colab.research.google.com/drive/1ONuKTYvNB…
by admin | Nov 29, 2022 | Python
please use IDLE
for question 1&2 please give me one .py format file
for question 3-6, please give me separate files for each question
by admin | Nov 26, 2022 | Python
Hello,
Please answer the below tasks as per given guidelines one is python code questions and another one is flower question dataset questions do separately
3.6 Python Code
Use the Python code located at https://repl.it/@jlocklair/CSC150ML to answer the following questions:
1 The code uses linear regression to predict a student’s test score when given the number of hours they studied. What is the predicted test score for a student who studies for 2 hours? 4 hours? 8 hours?
2 Look at student_scores.csv and find a study time that exists in the data set (first column). When you enter that score into the algorithm, does the prediction exactly match the recorded test score? Explain
3 Edit the data in student_scores.csv to create several “outliers” (students who either studied a short time and got high scores, or students who studied a long time and got low scores). How does this affect the accuracy of the model? Explain.
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3.7 Flower Classification
Work with the Iris Flower classification system by downloading the data and classifying new flowers.
Dataset – http://archive.ics.uci.edu/ml/datasets/Iris
Solutions — https://www.dezyre.com/recipes/
The Iris flowers dataset is one of the most investigated datasets in classification literature. The classification of iris flowers machine learning project is often referred to as the “Hello World” of machine learning. The dataset has numeric attributes allowing us to determine how to load and handle data. The iris dataset is small which easily fits into the memory and does not require any special transformations or scaling to use.
The Iris Dataset can be downloaded from UCI ML Repository – Download Iris Flowers Dataset Dataset – http://archive.ics.uci.edu/ml/datasets/Iris
Access to solved code examples can be found here (these are ready-to-use for your projects) Solutions — https://www.dezyre.com/recipes/
The goal of this machine learning project is to classify the flowers into among the three species – virginica, setosa, or versicolor based on length and width of petals and sepals.
Create a suitable machine learning system to identify new flowers given the training data of the Iris Flowers Dataset. Submit new flowers to your machine learning system for identification. Provide suitable comments in all of your data files. Submit your system, new data, and evidence of correct classification.
Contact your instructor with any questions prior to beginning or submitting your assignment.
by admin | Nov 26, 2022 | Python
need to propose a software project. The software you write must show mastery of the topics covered, so the software must include if statements, loops, functions, and at least one other topic covered (plotting, data management, object oriented) in the implementation of the code. submission must be at least 1 page, and must include a flow chart or pseudocode, a description of the deliverable, and a statement as to why this software will be useful.
Some ideas for projects:
A restaurant point-of-sale system
Sudoku checker
Connect 4 game
Parking payment machine
by admin | Nov 26, 2022 | Python
need to propose a software project. The software you write must show mastery of the topics covered, so the software must include if statements, loops, functions, and at least one other topic covered (plotting, data management, object oriented) in the implementation of the code. submission must be at least 1 page, and must include a flow chart or pseudocode, a description of the deliverable, and a statement as to why this software will be useful.
Some ideas for projects:
A restaurant point-of-sale system
Sudoku checker
Connect 4 game
Parking payment machine
