Portfolio of data science projects completed by me for academic, self-learning, commercial and hobby purposes.
| Project | Description | Stack | Skills |
|---|---|---|---|
| Income Level Classification | Binary classification of individuals by income level: (<=50K / >50K) based on individual features. EDA with NaN's filling using CatBoost and hyperparameter optimization (Optuna). Training of logistic regression and SVM models. | Pandas NumPy Scikit-learn Matplotlib Seaborn Missingno Optuna CatBoost |
EDA Preprocessing Modeling |
| Intel Image Classification (CNN) | Nature image classification using CNN and AlexNet | Pytorch Torchvision Scikit-learn Matplotlib |
Preprocessing Modeling |
| Stock Prediction: ARIMA & Prophet 📈 | Time Series Forecasting Using ARIMA and Prophet | Pandas Ploty Scikit-learn statsmodels Prophet |
Preprocessing Time Series Analysis Statistical Analysis Data Visualization |