Title : A comparison of Transformers with traditional and modern ML algorithms (Support Vector Machines, Naive Bayes, KNN) in sentiment analysis. The objectives of this assessment are: 1. To Critically Analyse and Synthesise Key Literature, critically evaluating primary sources in the literature to refine and define a research topic, culminating in the formulation of a […]
Discipline: Python
Evaluating Predictive Models for Retirement Savings Outcomes: A Comparative StudyEvaluating Predictive Models for Retirement Savings Outcomes: A Comparative Study
Research Question and Sub-Questions 1.5.1 Primary Research Question: Which machine learning model—deep learning, Gradient Boosting Machines (GBM), or Random Forests—provides the most accurate predictions of retirement savings outcomes? 1.5.2 Sub-Questions: i. How do the predictive accuracies of deep learning, GBM, and Random Forests compare when applied to retirement savings outcomes? ii. What are the most […]
This project is about testing fot the existence of Momentum in Cryptocurrency markets.This project is about testing fot the existence of Momentum in Cryptocurrency markets.
For the Project Find relevant Cryptocurrency data from a reputable source (Fred is a good place to start, Bloomberg is also good). Construct a trading strategy designed to highlight momentum if it exists for these asset classes. Run several variants of the strategy if possible and compare results from the perspective of raw return, risk, […]
Final report for NLP project (ML -DL) -The code is ready, I just need the reportFinal report for NLP project (ML -DL) -The code is ready, I just need the report
Your final write-up should be between 3 – 4 pages. Your final report should include the following: • Title, Author(s) • Abstract: It should not be more than 300 words. • Introduction: This section introduces the problem, and your overall approach to the problem. • Background/Related Work: This section discusses relevant literature for your project. […]
apply machine learning algorithms learned to real-world datasets, analyze the results, and present findingsapply machine learning algorithms learned to real-world datasets, analyze the results, and present findings
Instructions: Select a Dataset: Choose any publicly available dataset of interest. You can explore various sources such as Kaggle or any other reputable data repository. Do not use proprietary or private data Ensure that the dataset is suitable for classification or regression Use the code we used in class. Do not use ANY other code. Data Exploration […]
Create a docker based solution written in Python for extraction of data from SQL tables with microservicesCreate a docker based solution written in Python for extraction of data from SQL tables with microservices
Create a docker based solution written in Python for extraction of data from SQL tables with microservices. The endpoint of the microservice must be accessed outside the container. When the data in the database is accessed, your code must do some transformations with Pandas (join tables, select columns, filter columns etc.). The output from the […]
A Python library is a collection of pre-written and reusable code that provides functionalities to perform specific tasks. The goal of this assignment is to research a Python library of your choice and write a comprehensive paper presenting your findings.A Python library is a collection of pre-written and reusable code that provides functionalities to perform specific tasks. The goal of this assignment is to research a Python library of your choice and write a comprehensive paper presenting your findings.
A Python library is a collection of pre-written and reusable code that provides functionalities to perform specific tasks. The goal of this assignment is to research a Python library of your choice and write a comprehensive paper presenting your findings. The paper must be at least 5 pages in length and address the following points: […]
conduct Classification to answer the first question and Regression to answer the second.conduct Classification to answer the first question and Regression to answer the second.
This is a Women’s Clothing E-Commerce dataset revolving around the reviews written by customers. Its nine supportive features offer a great environment to parse out the text through its multiple dimensions. Because this is real commercial data, it has been anonymized, and references to the company in the review text and body have been replaced […]
Python program to determine whether a password exactly meets the following requirements for a secure passwordPython program to determine whether a password exactly meets the following requirements for a secure password
Assignment: Writing a Python program to determine whether a password exactly meets the following requirements for a secure password: the length of the password must be greater than some minimum length and less than some maximum. You should decide on the minimum (at least 6) and maximum (at least 15) allowable lengths; it must not include any […]