Loading...

Messages

Proposals

Stuck in your homework and missing deadline? Get urgent help in $10/Page with 24 hours deadline

Get Urgent Writing Help In Your Essays, Assignments, Homeworks, Dissertation, Thesis Or Coursework & Achieve A+ Grades.

Privacy Guaranteed - 100% Plagiarism Free Writing - Free Turnitin Report - Professional And Experienced Writers - 24/7 Online Support

Kno death is silent zip

16/11/2021 Client: muhammad11 Deadline: 2 Day

Exam Performance Analysis

Advanced Python for Data Science Project proposal 1: Exam performance analysis You are requested to analyse students’ exam performance dataset using python programming language. The dataset contains students’ scores in three different subjects (math, reading, and writing). Wire a python program to perform the following tasks: Task 1: Load the dataset in relevant format and show its properties, e.g. number of records, number of features and their types. (hint: use Pandas Library to read the data). Inspect the dataset and perform data cleaning (e.g. removing duplicate records and fixing missing data). Task 2: Provide descriptive statistics of the dataset and perform an exploratory data analysis (EDA) to answer the following analysis questions: • Compare students’ exam scores in different subjects (math, reading,

writing), What trend did you find? • Who performed better in different subjects male or female students? • Show any attributes (features) that are correlated with exam scores.

(e.g. Does parental level of education affect their children exam scores? Does test preparation influence students’ performance?) (hint: use corr() method in Pandas).

(you are encouraged to impose other analysis questions based on any trend you notice in the dataset). Task 3: Show visual representation of your analysis (hint: use data visualization packages such as Matplotlib and Seaborn). Task 4: Build a machine learning model to predict student’s exam performance in each subject given the following attributes: gender, race/ethnicity, parental level of education, lunch, and test preparation course. Download the dataset from the following link: Students exam performance data

DS540: Advanced Python for Data Science Project proposal 2: Tweets sentiment analysis

You are requested to perform natural language processing on users’ tweets using python programming language. The dataset contains textual data obtain from twitter users. Wire a python program to perform the following tasks: Task 1: Load the dataset in relevant format and show its properties, e.g. number of records, number of features and their types. (hint: use Pandas Library to read the data). Inspect the dataset and perform data cleaning (e.g. removing duplicate records and fixing missing data). Task 2: Pre-process the textual data and extract features using NLP techniques as follows: • Pre-processing steps:

1. Convert to lowercase. 2. Remove stop words. 3. Normalise the text (punctuation removal, spelling correction,

Stemming). 4. Tokenisation.

• Extract the following features:

1. Compute word count per tweet.

2. Average word length per tweet.

3. Special character count per tweet. 4. Tweets sentiments. (hint: use TextBlob library to obtain tweets’

sentiments).

5. N-grams. 6. TF-IDF.

DS540: Advanced Python for Data Science Task 3: Using visual representation, show the following: most commonly used words in tweets using Worldcould, number of positive, negative, and neutral tweets and word count distribution among different sentiments). (hint: use data visualization packages such as Matplotlib and Seaborn).

Task 4: Preform sentiment analysis using machine learning techniques to classify tweets into positive, negative, or neutral sentiments given the following features: word count per tweet, average word length per tweet, and special character count per tweet.

Download the dataset from the following link: Sentiment analysis Dataset

DS540: Advanced Python for Data Science

Project guidelines The report should provide the following information:

• A written description of data with relevant spreadsheets.

• Explanation of how you analysed your data (hint: what python packages/functions did you use).

• Explanation of what data you analysed and follow with relevant

visualization.

• Show the results of your analysis, follow with relevant visualization

and highlight important results.

• Details of your machine learning model development.

Notes:

1. Follow attached report template.

2. Your report can’t go beyond 10 pages inclusive of any references.

3. You must combine yourselves into a group of 1-2 students.

4. Submission deadline is on Saturday of Week 13 (28/11/2020). 5. You must submit your Jupyter Notebook along with the report.

Homework is Completed By:

Writer Writer Name Amount Client Comments & Rating
Instant Homework Helper

ONLINE

Instant Homework Helper

$36

She helped me in last minute in a very reasonable price. She is a lifesaver, I got A+ grade in my homework, I will surely hire her again for my next assignments, Thumbs Up!

Order & Get This Solution Within 3 Hours in $25/Page

Custom Original Solution And Get A+ Grades

  • 100% Plagiarism Free
  • Proper APA/MLA/Harvard Referencing
  • Delivery in 3 Hours After Placing Order
  • Free Turnitin Report
  • Unlimited Revisions
  • Privacy Guaranteed

Order & Get This Solution Within 6 Hours in $20/Page

Custom Original Solution And Get A+ Grades

  • 100% Plagiarism Free
  • Proper APA/MLA/Harvard Referencing
  • Delivery in 6 Hours After Placing Order
  • Free Turnitin Report
  • Unlimited Revisions
  • Privacy Guaranteed

Order & Get This Solution Within 12 Hours in $15/Page

Custom Original Solution And Get A+ Grades

  • 100% Plagiarism Free
  • Proper APA/MLA/Harvard Referencing
  • Delivery in 12 Hours After Placing Order
  • Free Turnitin Report
  • Unlimited Revisions
  • Privacy Guaranteed

6 writers have sent their proposals to do this homework:

Accounting & Finance Specialist
Homework Guru
George M.
Writing Factory
Smart Homework Helper
Quick Finance Master
Writer Writer Name Offer Chat
Accounting & Finance Specialist

ONLINE

Accounting & Finance Specialist

I find your project quite stimulating and related to my profession. I can surely contribute you with your project.

$22 Chat With Writer
Homework Guru

ONLINE

Homework Guru

I am a PhD writer with 10 years of experience. I will be delivering high-quality, plagiarism-free work to you in the minimum amount of time. Waiting for your message.

$50 Chat With Writer
George M.

ONLINE

George M.

I have worked on wide variety of research papers including; Analytical research paper, Argumentative research paper, Interpretative research, experimental research etc.

$35 Chat With Writer
Writing Factory

ONLINE

Writing Factory

I will provide you with the well organized and well research papers from different primary and secondary sources will write the content that will support your points.

$28 Chat With Writer
Smart Homework Helper

ONLINE

Smart Homework Helper

I have written research reports, assignments, thesis, research proposals, and dissertations for different level students and on different subjects.

$48 Chat With Writer
Quick Finance Master

ONLINE

Quick Finance Master

I find your project quite stimulating and related to my profession. I can surely contribute you with your project.

$28 Chat With Writer

Let our expert academic writers to help you in achieving a+ grades in your homework, assignment, quiz or exam.

Similar Homework Questions

Na hina apartments suva fiji - How to calculate bid ask spread percentage - Height of lamp post singapore - The most contagious diseases and his pharmacological management, - Carmex leveraging facebook for marketing research - Periodic table flow chart - Who is the antagonist in the glass menagerie - The three students discussed in detail in this chapter—dan, cassie, and nia—have this in common: - Post - Expand the sentence i ate so many jelly beans - 479 kj to calories - There is no such think as free lunch - Econ essay 1200-1300 words - Pregamer pax east edition laugh boston february 26 - 04.04 civil rights assessment - Symbolism of storms in literature - Word module 2 sam exam answers - Tafe qld harvard referencing - What percentage is a 4 on the ap exam - 4-45 Cost Accumulation and Allocation - Respiratory system powerpoint presentation - Diversity examples for interview - Elastic band propeller boat - Week 9 Discussion - What is the purpose of a windshield survey - May lindstrom stockists australia - Individual tax return problem 1 - Bank account program in c++ using structure - Gracefully grayson sparknotes - Fort collins force soccer - Four major branches of earth science - Please help - As 4678 - Setting of montana 1948 - Churn top and dasher - Bomb bag phantom hourglass - Which layer is exemplified by the use of ado net - Www aida live com audios - Research Data Analysis 1 - Hissing cockroach care sheet - Too big to fail free movie - #9 - Tutor - Potentiometer measurement of resistance experiment - The book thief part 3 questions - Worldview & Decision-Making - Case study 1 green computing research project part 1 - Discussion - Clive thompson smarter than you think summary - Medial epicondylitis special test - Advanced registered nurse practitioners arnps include - Deakin university waurn ponds open day - Commemorative speech about my father - Writing Assignment: Media Analysis - Sure thing by david ives analysis essay - Panera bread case study financial analysis - Muslim Molvi 7340613399 OnLine No 1 FaMOUs VashIKaraN sPecIaLIsT IN Davanagere - Case how to sink the mayflower - Yarrows frozen dough australia - Apple ethical issues - Geography Assignment - Book death by meeting - If the pressure of a gas sample is quadrupled - How did great britain combat napoleon's naval blockade - Molar mass of c5h11oh - River community hospital case study solution - Specific heat at constant volume cv - Triangle or circle crossword - W7D1 - How many cotyledons does a monocot have - Opinion/Persuasion Essay - Practice with organic reactions questions worksheet - LIVE LECTURE QUESTION - Eng lang study design - Seen from the northern latitudes the star polaris - Dramatic techniques used in romeo and juliet - Sap bi sample resume - Bluebeam draw to scale - Mole conversion worksheet answer key - Essentials of lifespan development 6th edition chapter 1 - Which of the following statements are false regarding a boxplot? - Blue eyes vs brown eyes experiment - Econometric/statistics homework help (timed) - Week 5 - Cross a heterozygous running - 4 pin reverse camera plug jaycar - Bsbldr502 lead and manage effective workplace relationships pdf - Work breakdown structure of restaurant - How to create a healthy workplace environment presentation - Why didn t dexter want a pocket calculator math answers - Icheme competence and commitment report - Business continuity and disaster recovery_8/10_2 - How to calculate plantwide overhead rate - Ancestral lines john barker pdf - High five reading strategy - Still alive ruth kluger chapter summaries - Budgeting - NURSING: EVIDENCED-BASED PRACTICE PROJECT - Counselling for civil servants - Nursing interventions for transient tachypnea of the newborn