Nurudeen Abdulsalaam's Projects
For this project, I used Bitcoin's daily closing market price dataset from Jan 2012 to March 2021 Kaggle. This work's main objective includes explaining how to analyze a time series and forecast its values using ARIMA and GARCH models.
This is a Python-based recommendation engine that uses collaborative filtering to predict which items a user is most likely to be interested in. The engine is trained on user-item interactions data, and uses similarity techniques to identify patterns and make recommendations.
In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.
Whether you are a writer, a developer, or simply someone who wants to learn how to write clean and effective documents, this guide is for you. So if you are ready to get started with markdown, check out the guide and start formatting your text today!
Developed a multi-class classification model to identify and classify faults according to specified categories. The model can be used to flag a device returning faulty data automatically.
A web application to keep track of friends’ birthdays.
This repository includes a straightforward blogging tool that lets users write, read, edit, and remove blog entries. It shows how to manage routing, database interactions, and user authentication using Flask and SQLAlchemy.
Part One of Google IT Automation with Python Professional Certificate. Quizzes and Module Graded Assessment Solutions
This is a repository containing the solutions to the coding excercises for the end-of-course quizzes during the period of the internship.
Practice and assignment code for the course; Introduction to computer science by Harvard university on edx
In business analysis, the Apriori algorithm can be used to analyze transactional data and identify items frequently purchased together, such as pairs of items or sets of items. This information can inform marketing strategies, such as cross-selling or bundling products.
later
I developed a model to predict the severity of earthquakes in Kavrepalanchok. The purpose is to obtain the best model and depth for the prediction and to emphasize the various steps needed to build such a model.
In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.
Welcome to my SQL research project! I used SQL to analyze and investigate a large dataset to find patterns, trends, and insights that might take time, if not impossible, to discover from the raw data.
Welcome to my portfolio
In business analysis, the Apriori algorithm can be used to analyze transactional data and identify items frequently purchased together, such as pairs of items or sets of items. This information can inform marketing strategies, such as cross-selling or bundling products.
In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent