sergeiap Goto Github PK
Name: Sergei Parshin
Type: User
Bio: Data Science Generalist with expertise in AWS, Virtual Private CLoud (VPC) administration, database design
Location: In the middle of the Earth
Sergei Parshin's Projects
advanced-analytics-process-control
Creating the model and approach to manage and adjust the process/equipment
docker-github-runner
Repo for creating github-runner in docker
image-captioning-telegram-bot
Image captioning telegram bot based on inceptionV3+LSTM/Attention
income_outcome_accounting
The test project for discover FastAPI
mcmc-with-coin
Play with fair/unfair coin using Bayes theorem and Monte-Carlo Markov Chain using PyMC library
postgresql-autodiller-db
Design and create a database for AutoDiller
predictive-maintenance-rotating-equip
Predictive maintenance rotating equipment detection
protein-expression-lvl-prediction-gnn
Test NetworkX and Torch Geometric (Graph Neural Network) for protein expression level prediction
pump-failure-using-automl
Test AutoML for pump failure prediction
rl-gym-taxi
Play with gymnasium case taxi using SARSA and Q-Learning https://gymnasium.farama.org/environments/toy_text/taxi/
sport-implicit-reco-system
Test Surprise library for recomendation system, create 2-step recommendation system based on Amazon `sport and outdoor` dataset
ts-feature-engineering-and-clustering-on-eeg-and-crypto
Time Series analysis, feature engineering and clustering based on two cases: Epileptic classification and Cryptocurrency clusterization
windmill_power_prediction
Data Science case for windmill power prediction based on weather. Based on Data Challenge of Air Liquide (@AirLiquide) and TotalEnergies(@total-sa, @Total-RD) companies in 2021. Real Data Science model was much more complicated to get 6 place. The link of the competition - https://datascience.total.com/fr/challenge/19/details#.
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