{"id":25066726,"url":"https://github.com/coderixc/algorithmaiml","last_synced_at":"2025-03-31T13:54:47.700Z","repository":{"id":274929079,"uuid":"896921346","full_name":"Coderixc/AlgorithmAiMl","owner":"Coderixc","description":"AI for Stock Market Prediction   | This project will serve as a comprehensive guide for practitioners and enthusiasts who want to explore AI techniques for both classification (e.g., trend prediction) and regression (e.g., price prediction) in the financial domain.","archived":false,"fork":false,"pushed_at":"2025-01-30T07:06:31.000Z","size":26,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-06T20:18:13.642Z","etag":null,"topics":["advance-machine-learning","ai","artificial-intelligence","iitb","iitd","iitp","machine-learning","python","stock-market"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Coderixc.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}},"created_at":"2024-12-01T16:25:13.000Z","updated_at":"2025-01-30T07:06:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"a01934ed-1f47-49f7-8ed4-e3d7f9d1ca18","html_url":"https://github.com/Coderixc/AlgorithmAiMl","commit_stats":null,"previous_names":["coderixc/algorithmaiml"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Coderixc%2FAlgorithmAiMl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Coderixc%2FAlgorithmAiMl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Coderixc%2FAlgorithmAiMl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Coderixc%2FAlgorithmAiMl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Coderixc","download_url":"https://codeload.github.com/Coderixc/AlgorithmAiMl/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246477243,"owners_count":20783966,"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","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":["advance-machine-learning","ai","artificial-intelligence","iitb","iitd","iitp","machine-learning","python","stock-market"],"created_at":"2025-02-06T20:18:03.247Z","updated_at":"2025-03-31T13:54:47.691Z","avatar_url":"https://github.com/Coderixc.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Quantitative Stock Market Modeling with AI \u0026 Machine Learning\n\nWelcome to our comprehensive AI-driven project focused on quantitative modeling for the stock market. This repository contains robust implementations of machine learning algorithms to build predictive models using stock price data (OHLC - Open, High, Low, Close).\n\n## 🎯 Project Objective\n\nThe goal of this project is to design and implement machine learning models for stock price analysis and forecasting. By leveraging modern Python libraries and machine learning frameworks, we aim to generate actionable insights from complex market data.\n\n## 🧠 Key Features\n\nStock Data Processing: Efficient handling and transformation of OHLC data using our custom distribution class.\n\nMachine Learning Models: Implementation of classification and regression models tailored to stock market trends.\n\nData Handling: Use of NumPy and Pandas for data wrangling.\n\nStatistical Analysis: Insightful analysis using key statistical techniques.\n\nScalable Framework: Code structure designed for extensibility and scalability.\n\n## 📁 Project Structure\n\n![image](https://github.com/user-attachments/assets/da8031f8-058b-4440-af84-6b880d4ee9f3)\n\n# Algorithm use\n-- KNN\n-- RandomForest\n-- SVM\n\n\n## 🚀 Getting Started\n\nPrerequisites\nEnsure you have the following installed on your machine:\nPython 3.7+\nNumPy\nPandas\nscikit-learn\n\n## Installation\n\n# Clone the repository\ngit clone https://github.com/Coderixc/AlgorithmAiMl.git\ncd AlgorithmAiMl\n\n# Install dependencies\npip install -r requirements.txt\n\n⚙️ Usage\n\nData Preparation:\nEnsure your stock data is in the data/ directory.\n\nModel Training:\n\npython src/ml_pipeline/train_model.py\n\nEvaluation:\nEvaluate the model using test data and generate performance metrics.\n\n\n# 📊 Machine Learning Algorithms\n\nThe project implements the following models:\n\nLinear Regression: For trend forecasting.\n\nRandom Forest: For robust predictions.\n\nSupport Vector Machines (SVM): For classification tasks.\n\nNeural Networks: Leveraging feedforward architectures for complex data patterns.\n\n\n🛡️ License\n\nThis project is licensed under the MIT License.\n\n📬 Contact\n\nFor queries or suggestions, feel free to reach out at kchanchal78@gmail.com.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoderixc%2Falgorithmaiml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoderixc%2Falgorithmaiml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoderixc%2Falgorithmaiml/lists"}