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.
Category: Python
I already written the code but I want it to be rewritten to be more accurate and
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: –
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.
Data Set Use the data set “pollution” that is posed on Canvas to do the followin
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 – Applying Computational thinking Concepts and Approaches on a Selected S
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.
Getting User Input and Concatenation Using the input() function Getting user inp
Getting User Input and Concatenation
Using the input() function
Getting user input is an essential skill in programming.
In Python, we can use the input() function to get user input.
The input() function returns a string value.
Concatenation
Concatenation is the process of combining two or more strings.
In Python, we can use the + operator to concatenate strings.
Example
name = input(“What is your name? “)
color = input(“What is your favorite color? “)
print(“Hello, ” + name + “! Your favorite color is ” + color + “.”)
Common Mistakes
Mixing data types
Be careful when concatenating strings with other data types.
Make sure to convert the other data types to strings first.
Using the wrong operator
Remember that the + operator is used for concatenation, not the + operator.
Further Reading
Python input() function documentation
Python string concatenation tutorial
Python input() function exercise
Python str() function documentation for converting other data types to strings
[Python int() function documentation for converting strings to integers](minvalue, maxvalue)>`)
Create a Python program that outlines a library management system. developing a
Create a Python program that outlines a library management system. developing a Python script that manipulates various types of files. Discuss the process of exploring and integrating third-party Python packages to enhance your application’s functionality and how to import it. Provide practical examples to illustrate each concept, highlighting their importance in software development. please AI answers are not accepted.
Create a Python program that outlines a library management system. developing a
Create a Python program that outlines a library management system. developing a Python script that manipulates various types of files. developing a Python application that requires interaction with various data structures. please ai answeres are not accepted.
3 Python coding/written questions It needs to be done accurately according to th
3 Python coding/written questions
It needs to be done accurately according to the instructions
I need it done within 2 hours
You will design a program that manages student records at a university. You will
You will design a program that manages student records at a university. You will need to use a number of concepts that you learned in class including: use of classes, use of dictionaries and input and output of comma delimited csv files.
The use of pandas, lambda, itemgetter or databases is explicitly not allowed.
Input:
a) StudentsMajorsList.csv — contains items listed by row. Each row contains student ID, last
name, first name, major, and optionally a disciplinary action indicator
b) GPAList.csv — contains items listed by row. Each row contains student ID and the student
GPA.
c) GraduationDatesList.csv – contains items listed by row. Each row contains student ID and
graduation date.
Example StudentsMajorsList.csv, GPAList.csv and GraduationDatesList.csv are provided for reference.
Your code will be expected to work with any group of input files of the appropriate format. Names,
majors, GPAs and graduation dates can and will likely be different from the examples provided.
You can reuse parts of your code from Part 1
Required Output:
1) Interactive Inventory Query Capability
Query the user of an item by asking for a major and GPA with a single query.
i. Print a message(“No such student”) if the major is not in the roster, more that
one major or GPA is submitted. Ignore any other words, so “smart Computer
Science student 3.5” is treated the same as “Computer Science 3.5”.
ii. Print “Your student(s):” with the student ID, first name, last item, GPA. Do not
provide students that have graduated or had disciplinary action . List all the
students within 0.1 of the requested GPA.
iii. Also print “You may, also, consider:” and provide information about the same
student type within 0.25 of the requested GPA . Do not provide students that
have graduated or had disciplinary action.
iv. If there were no students who satisfied neither ii nor iii above – provide the
information about the student within the requested major with closest GPA to
that requested. Do not provide students that have graduated or had disciplinary
action .
v. After output for one query, query the user again. Allow ‘q’ to quit.