isuleim Goto Github PK
Name: Ibrahim Suleiman
Type: User
Bio: Data Science | Machine Learning | Cyber Security | Cryptography | Research
Location: United States
Name: Ibrahim Suleiman
Type: User
Bio: Data Science | Machine Learning | Cyber Security | Cryptography | Research
Location: United States
Welcome to the notebook on American citizen income prediction! In this project, we aim to predict the income levels of American citizens based on various attributes and features. Understanding the income distribution is crucial for economic analysis, social policy planning, and targeted interventions.
The goal seems to be to conduct various data science analyses, including data cleaning, exploratory data analysis, time series analysis, visualization, and possibly machine learning tasks like clustering or classification. This research aims to gain insights into patterns, trends, and relationships within the dataset, and their impact.
Data Acquisition Connecting PostgreSQL with pgAdmin 4. PgAdmin is the community client for using PostgreSQL. It is usually installed along with PostgreSQL. While psql is a simle command-line tool, pgAdmin is a graphical user interface that provides pretty much the same functionality
Data Cleaning Project
Exploratory Data Analysis Project
Multiple Linear Regression Project
Data Mining on Classification analysis and Predictive Analysis
Data Dashboard and Storytelling
Advanced Data Acquisition
Data Mining Project Association Rules and Lift Analysis
Sentiment Analysis and Time Series
The effect of flight duration on ticket sales price, A multiple linear regression a analysis
Customer Booking Prediction: Implemented a predictive model using RandomForest to determine the likelihood of customers completing flight bookings with British Airways, and analyzed feature importances to understand key decision-making factors.
British Airways Customer Reviews: Conducted sentiment analysis and topic modeling on British Airways customer reviews to uncover insights on passenger experiences, identifying key areas of satisfaction and areas needing improvement.
This notebook uses TF-IDF, fuzzy matching, and K-Nearest Neighbors to dedupe and match records at scale. Real-world data is messy, requiring techniques like deduplication and record linkage for effective analysis.
This title highlights the primary components of your research: "DeepLearning" indicates the methodology. "PredictiveAnalytics" describes the overarching theme. "EHR" points to the data source, Electronic Health Records. "ChronicDiseases" signifies the specific domain of healthcare that the research focuses on.
Exploring the Fusion of Homomorphic Encryption and Machine Learning for Privacy-Preserving Data Analysis in Cybersecurity
This research involves creating synthetic medical images with random anomalies, training a CNN to detect these anomalies, and using LIME and SHAP for model interpretability. The goal is to enhance transparency and trustworthiness in medical imaging by understanding the model's decision-making process.
This research provides a clear and comprehensive overview of the research project, including the problem statement, methods, results, conclusions, and recommendations for further research. The included Python code demonstrates the practical application of machine learning techniques to solve real-world problems in computational material science.
Impact of COVID-19
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.