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Author Hiruni Navodya
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Hiruni Navodya

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15 Feb

Investigating the factors affecting the career choices of IT undergraduates in Sri Lanka

Digital Repository – Home Investigating the factors affecting the career choices of IT undergraduates in Sri Lanka By Goyalage Niluka Priyadarshani  URL:Citation:Date: 2022Supervisor: Ruwan Wickramarachchi Abstract Choosing a career path is a lifelong process and a strategy for achieving goals and desires. When not in line with expectations, a person’s efforts and resources are directed […]

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15 Feb

​Explore Determinants of Employee Turnover in IT Industry, Sri Lanka

Digital Repository – Home ​Explore Determinants of Employee Turnover in IT Industry, Sri Lanka  By R.M. Hasala Nayanamali Rathnayaka URL:Citation: . Guo, R. et al. Origin of the high piezoelectric response in PbZr1−xTixO3. Phys. Rev. Lett. 84, 5423–5426 (2000).Date: 2023 Abstract The fourth-largest export market to Sri Lanka, the IT industry, contributes significantly to the […]

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15 Feb

COMPARATIVE ANALYSIS OF DIVERSE MACHINE LEARNING TECHNIQUES TO DETECT CYBERBULLYING IN FACEBOOK

Digital Repository – Home COMPARATIVE ANALYSIS OF DIVERSE MACHINE LEARNING TECHNIQUES TO DETECT CYBERBULLYING IN FACEBOOK: A STUDY ON SRILANKAN CONTEXT  By Sanjay Sathiyanathan URL:Citation: Date: 2023Supervisor: Shantha Jayalal Abstract Since the utilization of social media networks have advanced, the capacity of its end users to torment others has raised up too. One of the pervasive types […]

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15 Feb

Prediction of stock prices using hybrid machine learning models

Digital Repository – Home Prediction of stock prices using hybrid machine learning models: A case study based on daily stock trading data of listed companies in Colombo Stock Exchange  By Samudaya Piushan Karunanayake   URL:Citation: Date: 2023Supervisor: Roy Ian Smith Abstract Stock price prediction is one of the highly discussed, debated, and researched areas in the realm […]

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15 Feb

Trash Classification using Machine Vision for Household Settings

Digital Repository – Home Trash Classification using Machine Vision for Household Settings  By Ashini Hasara Medagangoda  URL:Citation: .Date: 2022Supervisor: Maneesha Caldera Abstract The objective of the study conducted here is to evaluate whether it is feasible to develop a machine vision-based classification system to classify trash belonging into four selectively pre-determined distinct categories: glass, metal, […]

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14 Feb

Repository Subjects

Digital Repository – Home >> Subjects Browse by Subject Masters Theses – Data Science Masters Theses – Information Technology Masters Theses – LLM Masters Theses – MBA General Masters Theses – Business Analytics Masters Theses – Human Resource Masters Theses – Finance Masters Theses – Marketing Masters Theses – Project Management Masters Theses – Supply […]

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14 Feb

Authors

Digital Repository – Home >> Authors Browse by Author Ashini Hasara Medagangoda Samudaya Piushan Karunanayake Sanjay Sathiyanathan R.M. Hasala Nayanamali Rathnayaka Goyalage Niluka Priyadarshani Weerapurage Sandun Fernando Haburugala Withanage Dona Chaturani Abeywickrama Wijemanna Mohottige Priyamanti Malika Wijemanna Karunanayake Athukoralalage Kasun Lahiru Karunanayake Dimalsha Shenali Ranathunga Jayamuni Randini Swarnahansi De Silva P.W.Dishan Senarathne Nilum Dineesha Devapura […]

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14 Feb

Peter Wentworth

Digital Repository – Home >> Authors >> Peter Wentworth Author “Peter Wentworth” Browse By All Repositories Authors Subjects Author Peter Wentworth Peter Bruce Professor John MacIntyre Allen B Pandas Development Team Subject Data Science Information Technology LLM MBA General Business Analytics Human Resource Finance Marketing

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14 Feb

Pandas: Powerful Python Data Analysis Toolkit

Digital Repository – Home Pandas: Powerful Python Data Analysis Toolkit By Wes McKinney and the Pandas Development Team URL:Citation: . Guo, R. et al. Origin of the high piezoelectric response in PbZr1−xTixO3. Phys. Rev. Lett. 84, 5423–5426 (2000).Date: 2023 Abstract The Python package known as Pandas is the tool of choice for exploring, transforming, cleaning […]

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14 Feb

Practical Statistics for Data Science

Digital Repository – Home Practical Statistics for Data Science By Peter Bruce & Andrew Bruce URL:Citation: . Guo, R. et al. Origin of the high piezoelectric response in PbZr1−xTixO3. Phys. Rev. Lett. 84, 5423–5426 (2000).Date: 2023 Abstract This is by far one of the best books I have found for introducing beginners to the most […]

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