Soledad Galli | Data Scientist | Poke

Soledad Galli | Data Scientist @UCbstDsWJPwiJrF3-bo0oyZA@youtube.com

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I’m a biologist turned data scientist. Like many of you, I l

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Removing Duplicated Features with Feature-engine

Selecting Features by Target Encoding with Feature-engine

Introducing our Course Feature Selection for Machine Learning

Introducing Our Course Forecasting with Machine Learning

Introducing our Course Machine Learning with Imbalanced Data

Introducing Our Course Hyperparameter Optimization for Machine Learning

Introducing Our Course Feature Engineering for Machine Learning

Introducing our Course Feature Engineering for Time Series Forecasting

Feature from Date and Time | Feature Engineering for Time Series Forecasting

Window Features | Feature Engineering for Time Series Forecasting

Introducción a pipelines

Ingeniería de variables de tiempo y zonas horarias

Lag Features | Feature Engineering for Time Series Forecasting

Ingeniería de variables de fecha | Práctico

Components of a Time Series | Feature Engineering for Time Series Forecasting

Ingeniería de variables de fechas y tiempo

Ingeniería de variables combinadas | Práctico

Introduction to Error Metrics | Forecasting with Machine Learning

Ingeniería de variables combinadas

Introduction to Backtesting | Forecasting with Machine Learning

Normalizando con la norma del vector | Práctico

Normalizando con la norma del vector

Recursive Forecasting with Machine Learning | Forecasting with Machine Learning

Normalización con la media y los quantiles | Práctico

Introduction to Time Series | Forecasting with Machine Learning

Normalización con la media y los quantiles

Re-escalando al máximo | Práctico

Re-escalando al máximo

Interpretability in Machine Learning | Machine Learning Interpretability

Re-escalando al valor mínimo y máximo | Práctico

Caso de clasificación

Re-escalando al valor mínimo y máximo

Feature Importance in Decision Trees | Machine Learning Interpretability

Normalización con la media | Práctico

Permutation Feature Importance | Machine Learning Interpretability

Normalización con la media

Estandarización | Práctico

Shapley Values and Cooperative Game Theory | Machine Learning Interpretability

Estandarización

Discretization | Feature Engineering for Machine Learning

Poniendo las variables en la misma escala

Discretización en intervalos arbitrarios

Variable Transformation | Feature Engineering for Machine Learning

Discretización con árboles de decisión | Feature-engine

Handling Rare Labels & High Cardinality | Feature Engineering for Machine Learning

Discretización con árboles de decisión

Alternative Imputation Methods | Feature Engineering for Machine Learning

Discretización mas codificación de variables | Práctico

Imputation with Feature-engine | Feature Engineering for Machine Learning

Discretización mas codificación de variables

Discretización con clustering de K-medias

Missing Data Imputation | Feature Engineering for Machine Learning

Discretización con clustering de K-medias

Cardinality | Feature Engineering for Machine Learning

Discretización en intervalos de igual frecuencia

Discretización en intervalos de igual tamaño | Práctico

Statistical Methods for Feature Selection | Feature Selection for Machine Learning

Discretización en intervalos de igual tamaño

Step-Forward Feature Selection | Feature Selection for Machine Learning

Discretización de variables