Nurudeen Abdulsalaam's repositories
bitcon-prediction-arima-garch-models
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.
Harvard-CS50
Practice and assignment code for the course; Introduction to computer science by Harvard university on edx
Predict_apartment_prices-in-mexico
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.
WeRateDogs_twitter_analysis
The primary focus of this project revolves around proficient data wrangling techniques. Leveraging the Request library and Tweepy, I conducted comprehensive web scraping operations. Additionally, I engaged in succinct exploratory and explanatory analyses, extracting valuable insights and proposing strategies to enhance tweet retweeting metrics.
Chicago_divvy_analysis
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.
Market-Business-Analysis-Apriori
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.
ML-Eathquake-Damage-Prediction
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.
Web_Scrapers
I have demostrated in this notebook how to scrape Amazon and Wikipedia websites, stored output as csv format being the widely used format, and send notification to user when certain criteria are met.
book_recommendation_system
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.
Mystery-in-Fiftyville
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.
Create-Table-of-Content-with-Markdown
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!
flask-birthday-tracker
A web application to keep track of friends’ birthdays.
flask-blogging-application
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.
hamoye_quiz
This is a repository containing the solutions to the coding excercises for the end-of-course quizzes during the period of the internship.
Microsoft-DP-100
later
NdAbdulsalaam
Welcome to my portfolio
Prosper_loan_eda
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.
reusable_codes
Find your life saving code solutions and also have some funs
Superstore_EDA-Profit_Prediction
In this project, I conducted EDA and built a linear regression model to gain insights into the superstore data and make informed decisions about marketing and sales strategies.