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ANALYSIS OF GARMENTS PRODUCTIVITY PREDICTION USING MACHINE LEARNING TECHNIQUES

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  Table Of Contents:     Introduction     Objective     Problem Statement     Existing system     Proposed Methodology     Data set     Algorithm used     Results     Conclusion Introduction:   The process of making clothes is structured and involves several steps, including laying, marking, cutting, stitching, checking, and finishing. packing and pressing. This is the procedure used to transform raw materials into completed goods. If the preproduction stage of material preparation is not done correctly, it will be difficult to sustain the industry if production is subpar. "Garments Productivity Prediction" is the process of forecasting the level of productivity in the clothing manufacturing industry. It uses a range of statistical models and data analysis techniques to estimate the expected output within a certain time frame. This forecast is crucial for clothing manufacturers since it ...