AmirhosseinHonardoust
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{
"name": "Fake-News-Detector",
"description": "A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web a…",
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{
"name": "Image-Captioning-CNN-LSTM",
"description": "An end-to-end image captioning project using a CNN encoder (ResNet-50) and LSTM decoder in PyTorch. Includes vocabulary building, preprocessing, training with BLEU evaluation, and inference. Genera…",
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{
"name": "Coffee-Shop-Profit-Predictor",
"description": "Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to suppor…",
"language": ""
},
{
"name": "Stock-LSTM-Forecasting",
"description": "Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with early stopping, and evaluation with RMSE/MAE/MAPE. Includes…",
"language": ""
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{
"name": "Sentiment-Analysis-BERT",
"description": "End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusion matrices, ROC curves, and word clouds. Demonstrates fine-…",
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{
"name": "Market-Basket-Analysis",
"description": "Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, derives association rules, and outputs CSVs + visualizations. …",
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"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":88084572,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/AmirhosseinHonardoust"}}\" data-hydro-click-hmac=\"82f301365010222126769d2198f6758a7cb7db76ef07f41adc7023895b5d2ca8\" id=\"1083177957\" href=\"/AmirhosseinHonardoust/Fake-News-Detector\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">Fake-News-Detector</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-1833039f-8a2f-4c72-ad6a-b68fadf6dd09\" for=\"1083177957\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Fake-News-Detector</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web a…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/AmirhosseinHonardoust/Fake-News-Detector/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 53\n </a>\n <a href=\"/AmirhosseinHonardoust/Fake-News-Detector/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 4\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":88084572,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/AmirhosseinHonardoust"}}\" data-hydro-click-hmac=\"82f301365010222126769d2198f6758a7cb7db76ef07f41adc7023895b5d2ca8\" id=\"1056349804\" href=\"/AmirhosseinHonardoust/Image-Captioning-CNN-LSTM\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">Image-Captioning-CNN-LSTM</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-433e33e6-a78c-4985-b753-d4828b89719d\" for=\"1056349804\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Image-Captioning-CNN-LSTM</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n An end-to-end image captioning project using a CNN encoder (ResNet-50) and LSTM decoder in PyTorch. Includes vocabulary building, preprocessing, training with BLEU evaluation, and inference. Genera…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/AmirhosseinHonardoust/Image-Captioning-CNN-LSTM/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 47\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":88084572,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/AmirhosseinHonardoust"}}\" data-hydro-click-hmac=\"82f301365010222126769d2198f6758a7cb7db76ef07f41adc7023895b5d2ca8\" id=\"1081718116\" href=\"/AmirhosseinHonardoust/Coffee-Shop-Profit-Predictor\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">Coffee-Shop-Profit-Predictor</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-a0b41797-5ada-48b6-9458-601f02f1ff68\" for=\"1081718116\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Coffee-Shop-Profit-Predictor</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to suppor…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/AmirhosseinHonardoust/Coffee-Shop-Profit-Predictor/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 43\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":88084572,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/AmirhosseinHonardoust"}}\" data-hydro-click-hmac=\"82f301365010222126769d2198f6758a7cb7db76ef07f41adc7023895b5d2ca8\" id=\"1056211039\" href=\"/AmirhosseinHonardoust/Stock-LSTM-Forecasting\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">Stock-LSTM-Forecasting</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-9b75702c-d6f3-4135-944d-9a4773d71f36\" for=\"1056211039\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Stock-LSTM-Forecasting</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with early stopping, and evaluation with RMSE/MAE/MAPE. Includes…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/AmirhosseinHonardoust/Stock-LSTM-Forecasting/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 40\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":88084572,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/AmirhosseinHonardoust"}}\" data-hydro-click-hmac=\"82f301365010222126769d2198f6758a7cb7db76ef07f41adc7023895b5d2ca8\" id=\"1058950327\" href=\"/AmirhosseinHonardoust/Sentiment-Analysis-BERT\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">Sentiment-Analysis-BERT</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-34820f48-4466-476f-8252-7a43bed85995\" for=\"1058950327\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Sentiment-Analysis-BERT</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusion matrices, ROC curves, and word clouds. Demonstrates fine-…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/AmirhosseinHonardoust/Sentiment-Analysis-BERT/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 42\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":88084572,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/AmirhosseinHonardoust"}}\" data-hydro-click-hmac=\"82f301365010222126769d2198f6758a7cb7db76ef07f41adc7023895b5d2ca8\" id=\"1063996175\" href=\"/AmirhosseinHonardoust/Market-Basket-Analysis\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">Market-Basket-Analysis</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-97edfb55-ded8-49f6-8bd9-08fd56388bfb\" for=\"1063996175\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Market-Basket-Analysis</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, derives association rules, and outputs CSVs + visualizations. …\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/AmirhosseinHonardoust/Market-Basket-Analysis/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 39\n </a>\n </p>\n "
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