Ibrahim Layla. <br/><br/>
Forecasting Pakistan stock market with data science prospective and traditional time series methods /  [Thesis or Dissertation] 
Layla Ibrahim. 
 - Islamabad :  COMSATS University Islamabad,  2022. 
 - xv, 87 pages :  illustrations ;  30 cm +  1 DVD-ROM (4 3/4 in.) 
<br/><br/>Thesis 
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<br/><br/><label>Subjects--Personal Names: </label><br/>Mansoor Shaukat Khan, Dr. Supervisor, Mathematics. <br/>Muhammad Ashiq, Dr. External Examiner: Prof, National University of Technology, Islamabad. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Stock Market--Data science--Time series methods.<br/>Stock marketr--Data description--Artificial neuron--Visual volatility types.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Mathematics--Mathematics
<br/><br/><label>Dewey Class. No.: </label>510  / IBR-F