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Loan Default Prediction in Abc Finance Company a Machine Learning Case Study

Palihadaru, Thamali (2023)

Finance companies equally play a vital role in the Financial System in Sri Lanka. Loans and Advances represent the majority of the asset class of the financial position which accounted for 76.8% of the total assets in 2021. ...

Predicting the Turnover of Air Freight Logistics Based on The Economic Factors in Sri Lanka

Alwis, Sasanka (2023)

In today's highly competitive business world, the ability to predict revenue is crucial for decision-making and strategic planning. This research aims to develop a predictive model for revenue rate using machine learning ...

Predicting Undergraduates Dropouts Using Classification Techniques

Perera, Nipuni (2023)

"Undergraduate dropout is one of the biggest concerns in higher education institutes. This has become a significant concern locally as well as globally. Student retention has gained more attention from university administrators, ...

Classification of Cyberbullying Romanized Sinhala Comments in Online Platforms

Hettiarachchi, Yasindi (2023)

"This study investigates the detection of cyberbullying in Romanized Sinhala using various machine learning classifiers and feature extraction methods. The primary objective is to identify the most effective combination ...

Predicting Sri Lanka’s Inflation Using Machine Learning

Nilam, Ilyas (2023)

"Inflation has been a persistent economic problem for Sri Lanka over the years. The country has experienced high and volatile inflation rates, which have had severe effects on the economy, including reduced purchasing ...

Forecasting Share Prices Listed in Colombo Stock Exchange Using Machine Learning

Srikantha, Anojan (2023)

Generally, retail investors with low net worth do not have regular access to insights and information with respect to constructing optimal portfolios. On the other hand, professional investment managers have access to ...

A Comparative Study on Stock Price Forecasting: As Applied to the Consumer Services Industry Group Index of the Colombo Stock Exchange

Jayatilake, Anupama (2023)

"This study focuses on index-level price forecasting for the Consumer Services Industry Group Index of the Colombo Stock Exchange for a seven-day forecast period. The research stems from the argument that Sri Lanka’s stock ...

Predicting Retail Sales of XYZ Company – In Uncertain Economic Conditions after 2020 in Sri Lanka

Jayaweera, Shalindri (2023)

"Consumer durable product companies play a significant role in the economy of a country by generating employment, driving innovation, supporting other industries, contributing to exports, and generating revenue for the ...

Predicting Employee Tenure in a company using Machine Learning Predicting model

Jayakody, Gayantha (IIT, 2023)

"In any company the human resources are the key assets. though they have billon of fixed assets in their balance sheets, the growth of the company is determined on whether they have the right people at the right ...

Application of Visual Sentiment Analysis for Promotion of Tourism Destinations

Suhail, Fathima Sumaiya (IIT, 2023)

The advancement of the world wide web from its infancy of Web1.0 with read-only web pages allowing minimal interaction to the Web 2.0 which brough more a collaborative era for the internet, I have observed the emergence ...

Accident Severity Modelling of Road Accidents in the UK using Random Forest, Decision Tree and Multinomial Regression

Abdul Azeez Mohamed Rifan, Mohamed Rafhan (IIT, 2023)

Accidents causes considerable cost in terms of human life and financial costs every day. There is various research taken place to control the severity of the accidents. The data of accidents are being collected by various ...

Using Machine Learning to develop a predictive model for pipe-born water production during drought season in Sri Lanka - Focusing on Kalatuwawa Treatment Plant

Abeywardena, Bothunga Arachchige Malith (IIT, 2023)

"Scarcity of water is a problem that is being commonly discussed in modern days, where water is being a basic human need out of which a single human being can exist only up to three days without water. Among many other ...

An Analysis of Inter-terminal Technical Productivity of Port of Colombo.

Liyanaarachchi, Charith (IIT, 2023)

Transportation is one of the robust factors which affects the development of a nation and is an impeccable segment that influences national integration and the world economy as a whole. Out of it, the maritime industry ...

Predictive Sales Analysis and Optimization of Pharmacy Retail Outlets in Sri Lanka using Azure Machine Learning: A Study on the Impact of Store Characteristics and Promotional Strategies on Daily Sales Orders

Perera Samarasinghe Arachchige, Amila Supun (IIT, 2023)

Business can gain actionable insights to improve their outcomes by analyzing their massive sale set of data and can have optimizing the business decisions in an effective way. Private companies, being more technology ...

Machine learning approach for Loan default Prediction for Sri Lankan Banking Industry

Galanga, Lakshan (IIT, 2023)

"With the economic, socialist breakdown & covid 19 outbreak Sri Lankan banking industry is having their hardest years of the history. The citizens of Sri Lanka have encountered these factors, which have significantly ...

What Strategies and Technologies Can Be Developed to Achieve Full Automation in the Identification and Creation of Dimension and Fact Tables Within a Data Warehouse, Leveraging Data Sourced From Hadoop?

Kathriarachchi, Visal (IIT, 2023)

"In the realm of data management and analysis, Data Warehousing and Apache Hadoop stand as two powerful and complementary technologies. Their roles in handling and processing vast quantities of data have become ...

Predicting Credit Card Default Using Supervised Machine Learning Approaches

Perera, W C H Bagya (IIT, 2023)

Based on current economic context the customers obtained loans, advances and credit card repayment probability is very less when considering the past days. May be several factor or factors affect for that result but ...

Sentiment Analysis for Customer Churn Prediction in Telco Services

Sandarenu, Umesha (IIT, 2023)

Customer churn prediction is one of the major issues that any business needs to address in order to survive. In telecom services, churn prediction is not only challenging but also very expensive. There are already several ...

Predicting online customers using machine learning technique to Improve the Online Sales at Dialog Axiata plc

Perumal, Elancgoan (IIT, 2023)

"In an era of rapid growth, western countries have witnessed a shift from traditional shopping to online platforms. Similarly, Sri Lanka is experiencing a increasing potential for online shopping, expanded by the ...

Using Machine Learning and Deep Learning techniques to determine fake news on Twitter by utilizing Text and Image data

Ellawala Gamage, Vindiya Vinodani (IIT, 2023)

"The dissemination of false information on social media has significantly increased during the past few years. The purpose of this study is to suggest an innovative method for identifying incorrect news utilizing data ...

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