29,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

By using the data from assembly choices 2019, we present a process grounded on Feature Engineering and a set of machine learning algorithms to assay and compare the performance by accessing the same dataset. The general principles therefore, won't only aid analysts and intelligencers to present their preceptions more frequently and effectively but also empower the readers, depending on their position of interest and communal engagement to go beyond what is presented and to discover new Preceptivity for themselves.

Produktbeschreibung
By using the data from assembly choices 2019, we present a process grounded on Feature Engineering and a set of machine learning algorithms to assay and compare the performance by accessing the same dataset. The general principles therefore, won't only aid analysts and intelligencers to present their preceptions more frequently and effectively but also empower the readers, depending on their position of interest and communal engagement to go beyond what is presented and to discover new Preceptivity for themselves.
Autorenporträt
Amarpreet Singh, professeur adjoint au département d'informatique et d'ingénierie du CTIEMT, Shahpur, Jalandhar, avec près de 20 ans d'expérience dans l'enseignement, l'industrie, l'élaboration de projets, l'orientation de projets et la rédaction d'articles de recherche.