“””1. Escribe una función que reciba la altura y el ancho de un rectángulo y lo dibuje utilizando asteriscos.”””
def rectangulo(al, an):
for i in range(al):
print(“*”*an)
al = int(input(“an: “))
an = int(input(“al: “))
rectangulo(al, an)
right now we are working on how to handle the AND boolean for milestone2 part in M2.py please add the function to search method
I need help with coding assignment asap! Write a Python program that takes a sentence as input and returns a dictionary containing the frequency of each word in the sentence. Ignore case sensitivity and punctuation marks.
I already written the code but I want it to be rewritten to be more accurate and clear with no ChatGPT dedicated if found. I attached the files need mine is COE292 and the original assignment is named assignment4 • The assignment is about the Convolution Neural network
• Use the attached notebook file to solve the assignment (check the first reply)
• Submit your solution as a python file (.py) not as a notebook (.ipynb). Your submission will not be graded if you submit a notebook (i.e. you will get a 0 if you submit a .ipynb file). Follow the submission direction in the attached notebook to know how to convert a .ipynb file to .py file
Hello
attached is python project, I need you to do some enhancement as below:
– keep the login page as is.
– after login: there will be a window with two buttons “Report Case” and “New Case”.
– “Report Case” will open new window that includes all previous buttons except “Refresh and Report Case”. The refresh I want it automatically loop not by pressing button.
– “New Case” button will open a new window which was “Rebort Case” initially.
follow the instructions for the excel worksheet and how the final product is supposed to be is down below
Task 1 – Applying Computational thinking Concepts and Approaches on a Selected Scenario
nI this part of the portfolio you shall work individually and select one of the scenarios from Appendix – Aat the latest by the end of first week and start analysing and applying computational thinking concepts and approaches. There are following two tasks ni Part :I
Part 1: Decomposition: Problem Identification and Requirements
You’ll apply decomposition, identify one or more problems and derive requirements ot eb solved. Your write-up should include:
.I alist of possible problems,
Il. the process and techniques that you have used ot think about the problems, and
I. analysis of the problems and derive requirements which seem necessary to solve those problems.
This part of the portfolio si worth 30 marks ni terms of the overall module assessment.
Part 2: Applying Computational Thinking approaches and design a solution
nI this task you wil select one or more problems identified ni the task 1 and design a solution by applying suitable computational concepts and techniques. Individually, you should consider decomposition, pattern recognition, abstraction, modelling, algorithm/pseudocode design that would help solve the problem. Your design should be written ni such a way that the pseudocode could be translated more or less line by line into Python code. You must also specify how you would test that your design si correct and give your test data. To gain high marks ni this task you should provide at least one suitable example for patterns, abstraction and modelling of the selected scenario. Task 2 is worth 50 Marks
Part 2: Applying Computational Thinking approaches and design a solution
In this task you will select one or more problems identified in the task 1 and design a solution by applying suitable computational concepts and techniques. Individually, you should consider decomposition,
pattern recognition, abstraction, modelling, algorithm/pseudocode design that would help solve the problem. Your design should be written ni such a way that the pseudocode could be translated more or less line yb line into Python code. You must also specify how you would test that your design is correct and give your test data. To gain high marks ni this task you should provide at least one suitable example for patterns, abstraction and modelling of the selected scenario. Task 2 si worth 05 Marks ni the overall module assessment.
Task 2 – Evaluation and Consolidated Solution of a Selected Scenarie
nI this part you are required ot evaluate and reflect on the solutions provided by each student ni task 1. You should provide two strengths and two weaknesses for the solution provided ni Task 1 and how these can be improved. This evaluation should also consider how those solutions ot coleritualombesterildseriesconsolot codid or simulated solution or part of a solution wil be provided, to gain higher marks for this task you should provide working solution ni programing.
Task 1 – Data Mining Mini Project in Python
Detail Task 2
You have recently joined Confectionaries Are Us as a junior analyst. As your first
data mining investigation, your line manager has asked you to build and complete
appropriate models so that the site based company can use your optimum, relative
investigation for targeted increase profitability over time, both for individual countries
and collectively, based upon differing variables.
Before the analysis can be conducted, ensure that all pre-processing has been
undertaken on the data set and the data set is fully understood through initial
descriptive statistics. For the main body of the analysis, you are to choose the most
appropriate time modelling techniques and processes for the investigation, based
upon the data. In doing so, this will allow insight into the overall analysis and
appropriate meaningful solutions. The full investigation is to be written in Python.
A clear, concise analysis is to be given within the task, complimented with screenshot
evidence of all processes and results. The full code for Task 1 is to be included within an
appendix, so that it can be checked and verified it is working correctly.
Task 2 – Data mining report
Detail task 2
Based upon the completed data mining investigation in Task 1, you will now write a
comprehensive report that can be easily understood by the companies board of
directors and higher management. Contained within you will include full reasoning
for your chosen solutions, in addition to your motivation, investigations processes,
results and conclusions.
Page 5 of 9
(30 Total marks)
(LO’s: 1 & 4)
You are to submit a single Word document for all tasks and your code for Task 1 is to
be included within an appendix, so that it can be checked and verified it is working
correctly. Your student ID number must be clearly defined upon the uploaded file .
Data Set
Use the data set “pollution” that is posed on Canvas to do the following tasks.
Tasks and Grading Rubrics
Follow the machine learning steps to predict the average daily pollution level for the next 7 days.
Load data and perform exploratory analysis (8 points)
Process and prepare data – hourly data is given in the data set, and you first need to convert the data into a daily average (10 points) Hint: use resample() from pandas
Train and evaluate models – select at least two machine learning algorithms (16 points)
Predict daily pollution level for next 7 days using the best-trained model from step 3 (6 points)
The overall quality of the project (precise and accurate coding, high-quality results – please use your own judgment to include only meaningful results and interpretations, e.g. there is no need to show the entire data set ) (10 points)
Task 1 – Data Mining Mini Project in Python
Detail Task 2
You have recently joined Confectionaries Are Us as a junior analyst. As your first
data mining investigation, your line manager has asked you to build and complete
appropriate models so that the site based company can use your optimum, relative
investigation for targeted increase profitability over time, both for individual countries
and collectively, based upon differing variables.
Before the analysis can be conducted, ensure that all pre-processing has been
undertaken on the data set and the data set is fully understood through initial
descriptive statistics. For the main body of the analysis, you are to choose the most
appropriate time modelling techniques and processes for the investigation, based
upon the data. In doing so, this will allow insight into the overall analysis and
appropriate meaningful solutions. The full investigation is to be written in Python.
A clear, concise analysis is to be given within the task, complimented with screenshot
evidence of all processes and results. The full code for Task 1 is to be included within an
appendix, so that it can be checked and verified it is working correctly.
(70 Total marks)
(LO’s: 2 & 3)
(2800 Word Equivalence for the code)
Task 2 – Data mining report
Detail task 2
Based upon the completed data mining investigation in Task 1, you will now write a
comprehensive report that can be easily understood by the companies board of
directors and higher management. Contained within you will include full reasoning
for your chosen solutions, in addition to your motivation, investigations processes,
results and conclusions.
Page 5 of 9
(30 Total marks)
(LO’s: 1 & 4)
You are to submit a single Word document for all tasks and your code for Task 1 is to
be included within an appendix, so that it can be checked and verified it is working
correctly. Your student ID number must be clearly defined upon the uploaded file.