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Machine Learning Linear Regression\n\n## Description:\n\nThis project involves building a predictive model using the Linear Regression algorithm.\nYou will work in pairs to submit the code and a detailed report of your work.\nThe goal is to predict a person's weight based on their height using the provided dataset.\n\n## DataSet:\n\nLink: https://www.dropbox.com/scl/fi/lhau97ll9bwvewqa0rm2q/Height_Weight.csv?rlkey=b92qo151troherwy7t9h3gnil\u0026e=1\u0026dl=0\n\n- The dataset includes instances of height (in inches) and weight (in pounds).\n\n\n\n## Tasks\n\n### Data Preprocessing:\n\n- Convert heights from inches to centimeters.\n\n- Convert weights from pounds to kilograms.\n\n- Print main statistics (mean, median, standard deviation, min, and max) of the features in a table.\n\n\n### Model Construction:\n\n- Split the data into 70% training and 30% test sets.\n\n- Generate models using subsets of the dataset and evaluate their performance:\n\n   M1: 100 random instances\n\n   M2: 1,000 random instances\n\n   M3: 5,000 random instances\n\n   M4: Entire dataset\n\n\n### Model Evaluation:\n\n- Use appropriate regression metrics to test the performance of each model.\n\n- Compare and analyze the performance of the models.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyouseftareq33%2Fjava_ai_3_machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyouseftareq33%2Fjava_ai_3_machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyouseftareq33%2Fjava_ai_3_machine-learning/lists"}