Emin Mammadov's repositories
dash-predictive-maintenance
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
Time-Series-Tests
Time Series tests used to test data with high sampling frequency for both trend and seasonality
2nd-Order-Power-Losses-Estimation
Active and Reactive power losses estimation under distributed generation conditions using Hessian matrix
bigdata-2017w
CS 489/698 Big Data Infrastructure (Winter 2017) at the University of Waterloo
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
design_patterns
Practice of Design Patterns
docker_mlflow_db
Docker-compose setup with containers for MLflow, PostgreSQL, and NGINX
Spark_Analysis_Taxi
A project that is focused on utilizing Spark on cloud (GCP Dataproc). This project is done as part of the collaboration between LHL and a startup in Toronto
flink-docker
Yet another Docker image for Apache Flink
Mercedes_Benz_Kaggle
Kaggle competition consisting of predicting the time a car will spend on a test bench
scala-spark-unit-test-example
An example Scala Spark App with basic unit tests
Self-study-Notes
Self study notes that include concepts on statistics, math and various ML/DL Algorithms