creation of an interface and algorithm for forecasting demand for 14 days for goods of own production
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Updated
Aug 27, 2024 - Jupyter Notebook
creation of an interface and algorithm for forecasting demand for 14 days for goods of own production
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
A set of custom python modules for friendly workflow on pandas
Yandex Practicum Data Science project
Exploratory Data Analysis of MIMIC-II Dataset and extracted machine learning features
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Оценка риска попадания в ДТП по маршруту движения каршеринга
Предсказание оттока клиентов из банка
Creation of an ML product to identify and optimize payment for teachers of educational services
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