Using machine learning on a diverse class of problems : from rainfall to criminal actions
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
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| Kieli: | English |
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BRAC University
2016
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| Linkit: | http://hdl.handle.net/10361/4891 |
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10361-48912022-01-26T10:16:00Z Using machine learning on a diverse class of problems : from rainfall to criminal actions Munira, Sirajum Roy, Tonmona Tonny Rahman, Tasmia Javed, Md.Aquib Computer science and engineering Criminal actions This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. We intend to compare and analyze certain machine learning algorithms by taking two different datasets tackling separate real world issues. The first one relates to agriculture. Bangladesh, being an agrarian country, is heavily dependent on rain. Being able to predict the rainfall amount accurately would enable successful and sustainable production. Machine learning algorithms can also help predict the category of crimes in a particular area. This will enable law enforcers in a certain region to predict and categorize recent crimes based on past incidents. Our aim was to approach these problems by labelling and processing the data and then comparing the results of different cost functions. 2016-01-19T12:57:07Z 2016-01-19T12:57:07Z 2015-12 Thesis ID 12101038 ID 12101039 ID 15341031 ID 15341032 http://hdl.handle.net/10361/4891 en application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Computer science and engineering Criminal actions |
| spellingShingle |
Computer science and engineering Criminal actions Munira, Sirajum Roy, Tonmona Tonny Rahman, Tasmia Javed, Md.Aquib Using machine learning on a diverse class of problems : from rainfall to criminal actions |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. |
| format |
Thesis |
| author |
Munira, Sirajum Roy, Tonmona Tonny Rahman, Tasmia Javed, Md.Aquib |
| author_facet |
Munira, Sirajum Roy, Tonmona Tonny Rahman, Tasmia Javed, Md.Aquib |
| author_sort |
Munira, Sirajum |
| title |
Using machine learning on a diverse class of problems : from rainfall to criminal actions |
| title_short |
Using machine learning on a diverse class of problems : from rainfall to criminal actions |
| title_full |
Using machine learning on a diverse class of problems : from rainfall to criminal actions |
| title_fullStr |
Using machine learning on a diverse class of problems : from rainfall to criminal actions |
| title_full_unstemmed |
Using machine learning on a diverse class of problems : from rainfall to criminal actions |
| title_sort |
using machine learning on a diverse class of problems : from rainfall to criminal actions |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/4891 |
| work_keys_str_mv |
AT munirasirajum usingmachinelearningonadiverseclassofproblemsfromrainfalltocriminalactions AT roytonmonatonny usingmachinelearningonadiverseclassofproblemsfromrainfalltocriminalactions AT rahmantasmia usingmachinelearningonadiverseclassofproblemsfromrainfalltocriminalactions AT javedmdaquib usingmachinelearningonadiverseclassofproblemsfromrainfalltocriminalactions |
| _version_ |
1814308588425838592 |