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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

bigmart

An awesome project to demonstrate several concepts that I teach at Lighthouse Labs

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.

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

dwh_practice

flink-docker

Yet another Docker image for Apache Flink

hackathon

iameminmammadov.github.io

jigsaw_kaggle

mercedes_benz_kaggle

Kaggle competition consisting of predicting the time a car will spend on a test bench

pypsa

PyPSA: Python for Power System Analysis

resqpy

Python API for working with RESQML models

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

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

time-series-tests

Time Series tests used to test data with high sampling frequency for both trend and seasonality

tutor_session