isuleim,Ibrahim Suleiman,github

american-citizens-annual-income-prediction

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.

analysis-of-global-events-dataset

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.

d205-data-acquisition

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

d206

Data Cleaning Project

d207-exploratory-data-analysis-project

Exploratory Data Analysis Project

d208-multiple-linear-regression-project

Multiple Linear Regression Project

d209-data-mining-on-classification-analysis-and-predictive-analysis

Data Mining on Classification analysis and Predictive Analysis

d210-data-dashboard-and-story-telling

Data Dashboard and Storytelling

d211-advanced-data-acquisition

Advanced Data Acquisition

d212-data-mining-project-association-rules-and-lift-analysis

Data Mining Project Association Rules and Lift Analysis

d213-sentiment-analysis-and-time-series

Sentiment Analysis and Time Series

d214-capstone-project

The effect of flight duration on ticket sales price, A multiple linear regression a analysis

data-science-project-in-predicting-british-airways-customer-buying-behaviour

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.

data-science-web-scraping-to-gain-british-airways-company-insights

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.

deduping-and-record-linkage

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.

deeplearning_predictiveanalytics_ehr_chronicdiseases

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.

enhancing-cryptographic-techniques-using-machine-learning-for-privacy-preserving-data-analysis_

Exploring the Fusion of Homomorphic Encryption and Machine Learning for Privacy-Preserving Data Analysis in Cybersecurity

enhancing-medical-imaging-model-interpretability-with-synthetic-data-and-explainable-ai-techniques

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.

integrating-machine-learning-with-computational-material-science-to-predict-electronic-properties

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.

the-impact-of-covid-19

Impact of COVID-19

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