World Population Analysis 2024: An In-Depth Exploration of Urban and Rural Populations and Infrastructure Accessibility
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Updated
Jul 7, 2024 - Jupyter Notebook
World Population Analysis 2024: An In-Depth Exploration of Urban and Rural Populations and Infrastructure Accessibility
Time Series Analysis of Covid-19 Dataset
📈 An interactive AI stock dashboard built with Streamlit and Meta Prophet. Visualizes historical trends and forecasts stock prices up to 5 years for global and Indian markets (NSE/BSE).
Financial Analytics + ML: Databricks Data Lakehouse, Delta Lake, 4 ML models (RF, Isolation Forest, K-Means, Prophet), MLflow, Streamlit dashboard
Built an AI-powered outbreak prediction system using multi-domain health, mobility, and environmental data. Trained and evaluated multiple models, with XGBoost achieving 85.1% accuracy. Integrated SHAP and LIME for explainability and developed interactive D3.js dashboards with KPI cards for transparent public health decision support.
Hotel operations intelligence suite — booking cancellation prediction, revenue forecasting, RAG concierge, and BI dashboards. XGBoost · Prophet · Streamlit · Power BI · n8n
Monte Carlo simulation of airline route profitability under uncertainty - Cholesky-correlated risk engine, Prophet forecasting, and a designed Azure (ADF + Databricks + Synapse) production pipeline.
Time series analysis of Sheffield's Clean Air Zone effectiveness: ARIMA forecasting, Prophet modeling, ITS regression. Proven 30-44% NO₂ reduction with statistical significance (p<0.001). Complete R pipeline with reproducible methodology.
Using Python's yfinance library, this project analyzes 15 years of data for the S&P 500, Tesla, and Gold, managed via SQL. It applies Modern Portfolio Theory to construct an optimal portfolio, featuring in-depth risk assessment with VaR/CVaR, GARCH volatility modeling, and Prophet forecasting.
News sentiment analysis: multi-model NLP (FinBERT, VADER, TextBlob) with Prophet forecasting and real-time multi-source aggregation.
PsychoHistory - Future Graph Dynamics . Inspired by Isaac Asimov "The foundation"
Interactive time series forecasting dashboard comparing ARIMA and Facebook Prophet models on the Airline Passengers dataset with forecasting, model evaluation, hyperparameter tuning, and Streamlit visualization.
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