Household poverty level prediction in rural areas of punjab through hybrid machine learning aldorithm
Sanam Barkat (F17A14G05038)
Household poverty level prediction in rural areas of punjab through hybrid machine learning aldorithm - Faisalabad (unpublished) 2020 - xiii, 51 p. : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Philosophy in(Computer Science) to the Faculty of the Computing. Thesis supervisor: Prof. Mr. Muhammad Waleed Ashraf
Include bibliographical references Thesis (M.Phil)--Riphah International Univeristy, 2020
English
Computer science
Household poverty level prediction in rural areas of punjab through hybrid machine learning aldorithm--Data collection--Dataset--Data protection--Data transmission systems--FC
004 / SAN
Household poverty level prediction in rural areas of punjab through hybrid machine learning aldorithm - Faisalabad (unpublished) 2020 - xiii, 51 p. : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Philosophy in(Computer Science) to the Faculty of the Computing. Thesis supervisor: Prof. Mr. Muhammad Waleed Ashraf
Include bibliographical references Thesis (M.Phil)--Riphah International Univeristy, 2020
English
Computer science
Household poverty level prediction in rural areas of punjab through hybrid machine learning aldorithm--Data collection--Dataset--Data protection--Data transmission systems--FC
004 / SAN