Contributors: Michael Harmon

Name: Michael Harmon
Login: https://github.com/
Email: [email protected]
OST Projects: 1
Languages: Jupyter Notebook
Categories: Consumption
Sub Categories: Buildings and Heating
Topics: bokeh, energy-efficiency, exploratory-data-analysis, google-app-engine, missing-data, missing-values, outlier-detection, outlier-removal, regression-models, xgboost, datalemur, datalemur-solutions, hackerrank, hackerrank-solutions, hackerrank-sql, leetcode, leetcode-practice, leetcode-questions, leetcode-solutions, sql-practice, sql-query, sqlzoo, sqlzoo-solutions, data-challenge, etl, sentiment-analysis, sparkml, twitter, twitter-sentiment-analysis, document-classification, imbalanced-data, imbalanced-learning, naive-bayes, nltk, support-vector-machine, text-classification, collaborative-filtering, recommendation-algorithms, recommender-system, sklearn, maven, scalatra, geospatial-data, interactive-visualizations, flask-application, google-cloud-platform, forecasting-crime-rates, geospatial-analysis, statsmodels

Contributed Projects

NYCBuildingEnergyUse

Predict the emission of greenhouse gases from buildings by looking at their age, and water consumption as well as other energy consumption metrics.

bokeh data-science energy-efficiency exploratory-data-analysis google-app-engine missing-data missing-values outlier-detection outlier-removal regression regression-models scikit-learn xgboost

Consumption - Buildings and Heating - Last synced: 28 Apr 2025 - Ranking: 4.1