A set of custom python modules for friendly workflow on pandas
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Feb 20, 2024 - Python
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phik
Here are 33 public repositories matching this topic...
Effort here is to identify important features in relation to our target variable using multiple Correlation methods based on data type. Feature selection is important for ML models to avoid 'curse of dimensionality' but for this dataset we will be using it build our intution that benefits our later EDA effort
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Nov 25, 2022 - Jupyter Notebook
creation of an interface and algorithm for forecasting demand for 14 days for goods of own production
dockerfile pipeline sklearn postgresql pandas seaborn matplotlib mlflow optuna lightgbm-regressor phik
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Aug 27, 2024 - Jupyter Notebook
Yandex Practicum Data Science project
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Nov 1, 2023 - Jupyter Notebook
Exploratory Data Analysis of MIMIC-II Dataset and extracted machine learning features
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Jan 20, 2024 - Jupyter Notebook
Оценка риска попадания в ДТП по маршруту движения каршеринга
data-science machine-learning sqlalchemy neural-network numpy sklearn torch matplotlib car-accidents-detection phik
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Jul 13, 2023 - Jupyter Notebook
DA рынка HoReCa Москвы: предобработка данных, проверка гипотез и рекомендации для открытия нового заведения (pandas, визуализации, phi_k).
python correlation numpy exploratory-data-analysis jupyter-notebook eda pandas data-visualization seaborn matplotlib data-cleaning hypothesis-testing phik
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Feb 28, 2026 - Jupyter Notebook
ENG/RU Exploratory Data Analysis "Moscow's Taste: Venue Analysis and Recommendations for Investors" in the Jupyter notebook. The analysis uses libraries such as pandas, seaborn, matplotlib, and phik.
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Apr 3, 2025 - Jupyter Notebook
Building a model for predicting ad clicks
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Jun 22, 2024 - Jupyter Notebook
Модель прогнозирования риска ДТП для каршеринга с F1 0.674 на основе нейронной сети. Использованы Python, PyTorch, CatBoost, PostgreSQL, Streamlit.
python data-science machine-learning neural-network numpy scikit-learn carsharing postgresql pandas seaborn classification matplotlib psycopg2 feature-engineering catboost accident-prediction streamlit phik
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May 27, 2025 - Python
Нейросетевая модель для предсказания температуры звёзд с RMSE 4263 на основе PyTorch. Использованы Python, Scikit-learn, Pandas, корреляция Phik.
python data-science machine-learning neural-network numpy scikit-learn regression pandas pytorch seaborn astrophysics matplotlib feature-engineering phik star-temperature
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May 27, 2025 - Python
Модель прогнозирования выживаемости стартапов с F1 0.997 на основе DecisionTree, оптимизированного через Optuna. Использованы Python, Scikit-learn, Optuna.
python data-science machine-learning scikit-learn pandas seaborn kaggle classification matplotlib decision-trees feature-engineering business-analytics optuna phik startup-prediction
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May 27, 2025 - Python
Прогнозирование покупательской активности клиентов
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Oct 11, 2025 - Jupyter Notebook
Creating a ML-model to forecast the presence of a heart disease
data-science machine-learning numpy sklearn pandas seaborn matplotlib pickle heart-disease-prediction streamlit phik
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May 25, 2023 - Jupyter Notebook
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