Contributors: Mike

Name: Mike
Login: mdh266
Email: [email protected]
Description: Applied Machine Learning Lead, PhD in Computational Applied Mathematics
Website: michael-harmon.com
Location: Brooklyn, New York
Repositories count: 54
Last synced at: 2024-04-17T00:50:16.591Z
Total stars: 363
Followers: 109
Following: 57
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, aws-ec2, dataframe-library, duckdb, polars, keras, recurrent-neural-networks, tensorflow2, unix, unix-command, vim, data-challenge, etl, sentiment-analysis, sparkml, twitter, twitter-sentiment-analysis, psycopg2, sqlalchemy, sqlite3, document-classification, imbalanced-data, imbalanced-learning, naive-bayes, nltk, support-vector-machine, text-classification, dealii, discontinuous-galerkin, finite-element-methods, multithreading, semiconductor-devices, collaborative-filtering, recommendation-algorithms, recommender-system, sklearn, artificial-neural-networks, image-recognition, keras-neural-networks, keras-tutorials, neural-network-example, maven, scalatra, decision-tree, ensemble-learning, conda, unsupervised-learning, poisson-distribution, distributed-computing, mpi, openmp, alternating-least-squares, cholesky-decomposition, regression-algorithms, singular-value-decomposition, data-structures, datastructures, geospatial-data, interactive-visualizations, flask-application, google-cloud-platform, cancer-detection, logistic-regression, seaborn, forecasting-crime-rates, geospatial-analysis, statsmodels, cpp11, bayesian-inference, docker-compose, frequentist-statistics, maximum-likelihood-estimation, py4j, pymc3, bash-scripting, scripting, airflow, data-engineering, data-pipeline, etl-pipeline, schedule, data-pipelines, boost-libraries, domain-decomposition, eigen-library, photoelectrochemical-solar-cell, semiconductor-electrolyte-interface, solar-cells

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: 30 Apr 2025 - Ranking: 4.1