Ahmet Zamanis's repositories
WeatherAnomalyDetectionClassification
Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
BayesianUsedCars
Predicting used car prices using Bayesian Linear Regression, visualizing results and comparing with OLS regression.
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.
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.
ClusteringCountry
Non-hierarchical k-medoids clustering on a dataset of country statistics.
ConcreteStrengthGAM
Predicting concrete compressive strength using GAM regression.
DeepLearningEnergyForecasting
Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning.
Kaggle-House-Prices-Regression-FeatureEng
Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.
darts
A python library for user-friendly forecasting and anomaly detection on time series.
LoanRequestClassification
Imbalanced classification with loan clients dataset.
MixedEffectsRegressionDeliveryTimes
Testing models from the GPBoost package against regular gradient boosting.
numpy-100
100 numpy exercises (with solutions)
PanelLifeExpectancy
Quick test & comparison of the GPBoost & LightGBM packages on a panel dataset.