Gender Prediction Using Mobile App Data
#machinelearning #datascience #datasets #mobileapps #python #catboost #eda #exploratorydataanalysis
https://hackernoon.com/gender-prediction-using-mobile-app-data-06q35qa
#machinelearning #datascience #datasets #mobileapps #python #catboost #eda #exploratorydataanalysis
https://hackernoon.com/gender-prediction-using-mobile-app-data-06q35qa
Hackernoon
Gender Prediction Using Mobile App Data | Hacker Noon
Сreate a model for the gender prediction based on the list of installed applications on a mobile device.
How We Built an Efficient ML Model With Dirty Data and Insufficient Information
#buildmlmodel #mlmodeldevelopment #gradientboosting #catboost #aibookkeeping #mlmodeltraining #llmfordataenrichment #mlmodelarchitecture
https://hackernoon.com/how-we-built-an-efficient-ml-model-with-dirty-data-and-insufficient-information
#buildmlmodel #mlmodeldevelopment #gradientboosting #catboost #aibookkeeping #mlmodeltraining #llmfordataenrichment #mlmodelarchitecture
https://hackernoon.com/how-we-built-an-efficient-ml-model-with-dirty-data-and-insufficient-information
Hackernoon
How We Built an Efficient ML Model With Dirty Data and Insufficient Information
Article on practical experience of ML-model implementation for bookkeeping automation. Gradient boosting + autonomous agents on LLM.