AhmetZamanis
Freelance data scientist. Focused on working with time series data & models.
İzmir, Turkey
Pinned Repositories
AhmetZamanis
Config files for my GitHub profile.
ahmetzamanis.github.io
Portfolio of my data science projects & reports.
AirlineClassification
Classification modeling on a large dataset of airline passenger satisfaction.
BayesianUsedCars
Predicting used car prices using Bayesian Linear Regression, visualizing results and comparing with OLS regression.
ClusteringCountry
Non-hierarchical k-medoids clustering on a dataset of country statistics.
DeepLearningEnergyForecasting
Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.
Kaggle-House-Prices-Regression-FeatureEng
Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.
KaggleStoreSales
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
UsedCarKicksClassification
Imbalanced classification with scikit-learn and PyTorch Lightning.
WeatherAnomalyDetectionClassification
Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
AhmetZamanis's Repositories
AhmetZamanis/WeatherAnomalyDetectionClassification
Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
AhmetZamanis/BayesianUsedCars
Predicting used car prices using Bayesian Linear Regression, visualizing results and comparing with OLS regression.
AhmetZamanis/KaggleStoreSales
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
AhmetZamanis/UsedCarKicksClassification
Imbalanced classification with scikit-learn and PyTorch Lightning.
AhmetZamanis/AhmetZamanis
Config files for my GitHub profile.
AhmetZamanis/ahmetzamanis.github.io
Portfolio of my data science projects & reports.
AhmetZamanis/AirlineClassification
Classification modeling on a large dataset of airline passenger satisfaction.
AhmetZamanis/ClusteringCountry
Non-hierarchical k-medoids clustering on a dataset of country statistics.
AhmetZamanis/ConcreteStrengthGAM
Predicting concrete compressive strength using GAM regression.
AhmetZamanis/DeepLearningEnergyForecasting
Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.
AhmetZamanis/Kaggle-House-Prices-Regression-FeatureEng
Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.
AhmetZamanis/darts
A python library for user-friendly forecasting and anomaly detection on time series.
AhmetZamanis/LoanRequestClassification
Imbalanced classification with loan clients dataset.
AhmetZamanis/MixedEffectsRegressionDeliveryTimes
Testing models from the GPBoost package against regular gradient boosting.
AhmetZamanis/numpy-100
100 numpy exercises (with solutions)
AhmetZamanis/PanelLifeExpectancy
Quick test & comparison of the GPBoost & LightGBM packages on a panel dataset.
AhmetZamanis/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
AhmetZamanis/template-python-data-science
Python project template for a data science project.
AhmetZamanis/TemplatePythonEditable
Template Python project with editable install.