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HembenDev/README.md

Jeremiah Hemben — AI • ML • Data Science

👋 Hi — I'm Jeremiah Hemben

Typing SVG

Fusing intelligence with innovation — I explore the synergy of AI, Machine Learning, and Data Science to uncover insights, build smarter systems, and shape the next generation of technology.


Py Pandas NumPy Scikit-learn TensorFlow Plotly Jupyter Docker


avatar I turn data into decisions — building ML pipelines, dashboards, and reproducible analytics for real-world impact.


✨ What I do

  • Design and implement ML pipelines for prediction, classification, and forecasting.
  • Build interactive visualizations & dashboards with Plotly, Streamlit and Dash.
  • Apply explainability (SHAP / LIME) and robust validation for trustworthy models.
  • Explore AI applications for construction, sustainability, and smart-city analytics.

🚀 Featured Projects

Project Preview Short description
House Price Predictor house-pred Regression pipeline, EDA, feature engineering, SHAP explainability, deployed with Streamlit.
University Dashboard uni-dash Interactive Plotly dashboard for departmental analytics and visual storytelling.
AI Construction Analytics const-eda Cost estimation & sustainability forecasting using ML experiments and notebooks.

📊 Live GitHub Stats & Activity

GitHub stats

Top Languages

Jeremiah's Activity Graph

Profile views


🧰 Tech Stack & Tools

             


🧭 Learning Roadmap

  • ✅ Python for Data Science — NumPy, Pandas
  • ✅ Exploratory Data Analysis & Visualization — Matplotlib, Plotly
  • 🔄 Machine Learning — Scikit-learn, model tuning, cross-validation
  • 🔜 Deep Learning — TensorFlow, Keras (CNNs, Transformers)
  • 🔜 Model Deployment & MLOps — Streamlit, FastAPI, Docker, GitHub Actions

📫 Connect with me

email   linkedin   twitter   github


🔗 Quick Links

Explore my work and projects in Machine Learning, Artificial Intelligence, and Smart Infrastructure.


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Made with 💡 • AI • Machine Learning • Data Science — HembenDev

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  1. ML-Config-on-Python- ML-Config-on-Python- Public

    Venv environment activation with all ML Packages (numpy, pandas, matplotlib, seaborn and scikit-learn)

    Python

  2. ML_LINEAR_REG-HOUSE-PRED_MODEL ML_LINEAR_REG-HOUSE-PRED_MODEL Public

    Basic supervised algorithm implemented with the Linear_regression model with input feature(size) and target variable(price), manually computed weight(w) and bias(b) to fit model prediction. Trainin…

    Jupyter Notebook

  3. ecommerce-linear-regression-analysis ecommerce-linear-regression-analysis Public

    Linear Regression on E-Commerce Data — A data science project exploring customer behavior through EDA and predictive modeling using Scikit-learn to analyze how factors like app usage and membership…

    Jupyter Notebook

  4. knn-iris-predictor knn-iris-predictor Public

    A machine learning classification experiment applying the K-Nearest Neighbors (KNN) estimator from scikit-learn to the Iris dataset. The project covers data exploration, feature analysis, model ins…

    Jupyter Notebook