{"id":21281241,"url":"https://github.com/m-rishab/gold-price-prediction-model","last_synced_at":"2026-04-11T02:04:35.196Z","repository":{"id":217288878,"uuid":"743491199","full_name":"m-rishab/Gold-Price-Prediction-Model","owner":"m-rishab","description":null,"archived":false,"fork":false,"pushed_at":"2024-01-16T08:32:18.000Z","size":165,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-15T14:14:38.962Z","etag":null,"topics":["css","decision-trees","flask","html","machine-learning-algorithms","python3","random-forest-classifier"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/m-rishab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-01-15T10:57:02.000Z","updated_at":"2024-01-15T16:33:42.000Z","dependencies_parsed_at":"2024-01-15T14:42:30.193Z","dependency_job_id":"1663b95a-8190-4266-aa6e-c149a708d7ee","html_url":"https://github.com/m-rishab/Gold-Price-Prediction-Model","commit_stats":null,"previous_names":["m-rishab/gold-price-prediction-model"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/m-rishab/Gold-Price-Prediction-Model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FGold-Price-Prediction-Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FGold-Price-Prediction-Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FGold-Price-Prediction-Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FGold-Price-Prediction-Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/m-rishab","download_url":"https://codeload.github.com/m-rishab/Gold-Price-Prediction-Model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/m-rishab%2FGold-Price-Prediction-Model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279018110,"owners_count":26086281,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-14T02:00:06.444Z","response_time":60,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["css","decision-trees","flask","html","machine-learning-algorithms","python3","random-forest-classifier"],"created_at":"2024-11-21T10:46:29.208Z","updated_at":"2025-10-14T06:32:24.814Z","avatar_url":"https://github.com/m-rishab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Gold Price Prediction Model\n\n## Overview\n\nThis project aims to predict gold prices using a Random Forest Regression algorithm, a supervised learning technique that employs ensemble learning for regression.\n\n## Algorithm Definition\n\nRandom Forest Regression is a supervised learning algorithm that uses an ensemble learning method for regression. It leverages the power of multiple decision trees to make accurate predictions.\n\n## Flowchart\n\n\u003cimg width=\"500\" height=\"auto\" alt=\"Gold\" src=\"https://github.com/m-rishab/Gold-Price-Prediction-Model/assets/113618652/e6bee21c-641f-415a-a431-721dbe881229\"\u003e\n\n## Steps\n\n### 1. Data Collection\n\nThe first step involves collecting relevant data from various sources such as financial news websites, government reports, and social media.\n\n### 2. Data Preparation and Cleaning\n\nAfter data collection, the dataset undergoes cleaning, which includes eliminating duplicates, filling in blanks, and formatting the data appropriately for analysis.\n\n### 3. Feature Selection and Engineering\n\nMachine learning models require features for predictions. Relevant features for gold price prediction may include economic indicators (e.g., inflation rates, interest rates, GDP) and market-specific factors (e.g., gold production, gold demand, geopolitical events).\n\n### 4. Model Training\n\nThe machine learning model is trained using historical data. This involves selecting the right algorithm and optimizing its settings for optimal performance.\n\n### 5. Evaluation of the Model\n\nAfter training, the model needs to be evaluated by comparing its predictions with real gold prices to assess its accuracy and performance.\n\n## Demo\n\nhttps://github.com/m-rishab/Gold-Price-Prediction-Model/assets/113618652/6d57c042-2a5e-43af-b442-b84cd297cf15\n\n```python\n# Sample code snippet\nfrom gold_price_prediction_model import GoldPricePredictor\n\n# Load the trained model\nmodel = GoldPricePredictor.load_model('path/to/trained/model')\n\n# Make predictions\npredictions = model.predict(gold_features)\n\n# Display results\nprint(\"Predicted Gold Price:\", predictions)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-rishab%2Fgold-price-prediction-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fm-rishab%2Fgold-price-prediction-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-rishab%2Fgold-price-prediction-model/lists"}