Browsing by Subject "Random Forest"
Now showing items 1-5 of 5
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Classification Of Breast Cancer Stages Utilizing Polarization Images – Mueller Matrix Transformation And A Deep Learning Approach
(2023)Early identification of breast cancer is critical for successful treatment globally. Mammography and ultrasound are used to diagnose and screen breast cancer. These imaging methods have limited specificity and sensitivity, ... -
Demand Forecasting And Inventory Management: A Case Study Of Hiep Thanh Phat Company
(2023)Hiep Thanh Phat Company often forecasts demand by simple linear regression and the company‟s forecasting is not accurate due to the high errors. Therefore, four methods such as Multiple Linear Regression, Decision Tree, ... -
Idppiv-3l: Identifying Dppiv Inhibitors And Their Strength Using Ensemble Learning Models
(2020-02)Type 2 diabetes mellitus (T2DM) is a severe chronic metabolic disorder threatening human health and it has a high incidence worldwide. People need to apply effective prediction model to diagnose and avoid Type 2 diabetes ... -
Machine Learning Application In Movie Recommender Systems: A Case Study Of Movielens Website
(2023)Movie recommendation systems are an important part of modern online movie platforms, assisting users in findning relevant and personalized movie suggestions from large catalogs. Using the MovieLens-1M dataset, this thesis ... -
Predictive Maintenance In Predicting Machine Failures At Unilever: A Log-Based Approach Using Machine Learning Algorithm
(2023)Log-based predictive maintenance creates opportunities for companies to apply proactive maintenance strategy using existing data without expensive hardware installation. The primary goal of this research is to develop a ...