728x90 반응형 데이터6 2nd K-AI Manufacturing Competition (3) ▤ 목차Model Evaluation and ResultsLoss Function and Training ProgressLoss Function:The model was trained using the binary cross-entropy loss function, which is well-suited for binary classification tasks. It calculates the divergence between the predicted probabilities and the true labels, guiding the model's optimization.Binary cross-entropy ensures that the model penalizes incorrect predictions .. 2025. 1. 15. 2nd K-AI Manufacturing Competition (2) ▤ 목차Analysis Model DevelopmentAI Analysis Model Selection: GRURecurrent Neural Networks (RNNs) and LSTMsRecurrent Neural Networks (RNNs) are highly effective for sequential data processing due to their ability to capture temporal dependencies. However, traditional RNNs face limitations in retaining long-term dependencies, often suffering from the vanishing gradient problem.To address this, Long .. 2025. 1. 15. 2nd K-AI Manufacturing Competition (1) ▤ 목차Manufacturing Data Definition and ProcessingOverview of Manufacturing Data CollectionThe dataset analyzed in this study was collected from the melting and mixing process during powdered cream production. This data was obtained via PLCs and a Database Management System (DBMS) with a collection cycle set at 6-second intervals. The data collection period spans approximately two months, from Mar.. 2025. 1. 15. 2nd K-AI Manufacturing Competition (0) ▤ 목차OverviewKAMP, an AI manufacturing platform managed by the Ministry of SMEs and Startups in the Republic of Korea, held a competition. The goal was to define and solve a problem based on the anonymized random dataset, and we received a melting tank dataset from the food manufacturing industry.Analysis BackgroundOverview of the Process and EquipmentThe dataset analyzed in this study originates.. 2025. 1. 15. Marketing Strategy Proposal with Instacart Data Analysis (1) ▤ 목차DataThe dataset provided consisted of six interconnected tables, each containing crucial information about orders, products, customers, and other related attributes. To better understand the relationships within the data, an Entity-Relationship Diagram (ERD) was created, which highlighted the unique and foreign key relationships between the tables. For example, order_id was identified as the.. 2025. 1. 15. Marketing Strategy Proposal with Instacart Data Analysis (0) ▤ 목차OverviewThis report provides a comprehensive analysis of customer behavior and purchasing patterns within a specific e-commerce platform. The primary objective was to analyze customer data, identify high-value customers (VIPs), and develop strategies to increase revenue through targeted promotions and improved product offerings. Key findings include the identification of VIPs who significant.. 2024. 12. 23. 이전 1 다음 728x90 반응형