{"id":22202492,"url":"https://github.com/fawadeqbal/data-science","last_synced_at":"2025-07-29T04:31:36.399Z","repository":{"id":262674425,"uuid":"888001291","full_name":"fawadeqbal/Data-Science","owner":"fawadeqbal","description":"A comprehensive repository covering essential Data Science concepts using PyTorch, including anomaly detection, classification, clustering, regression, and more. Includes hands-on implementations and tutorials for each concept.","archived":false,"fork":false,"pushed_at":"2024-12-09T17:27:00.000Z","size":20,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-12-09T18:32:58.659Z","etag":null,"topics":["calculus","calculus-2","data-science","data-visualization","dataset","machine-learning","python","pytorch","statistics"],"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/fawadeqbal.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":"2024-11-13T16:37:22.000Z","updated_at":"2024-12-09T17:27:04.000Z","dependencies_parsed_at":"2024-12-09T18:25:36.239Z","dependency_job_id":"637668a7-4254-49c6-b2ae-fa50ea729308","html_url":"https://github.com/fawadeqbal/Data-Science","commit_stats":null,"previous_names":["fawadeqbal/data-science"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/fawadeqbal/Data-Science","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fawadeqbal%2FData-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fawadeqbal%2FData-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fawadeqbal%2FData-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fawadeqbal%2FData-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fawadeqbal","download_url":"https://codeload.github.com/fawadeqbal/Data-Science/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fawadeqbal%2FData-Science/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267629115,"owners_count":24118144,"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":"2025-07-29T02:00:12.549Z","response_time":2574,"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":["calculus","calculus-2","data-science","data-visualization","dataset","machine-learning","python","pytorch","statistics"],"created_at":"2024-12-02T16:28:50.286Z","updated_at":"2025-07-29T04:31:36.144Z","avatar_url":"https://github.com/fawadeqbal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DataScience\n\nWelcome to **DataScience Concepts**, a comprehensive repository that demonstrates various data science concepts and machine learning techniques using **PyTorch**. This repository provides hands-on implementations and practical tutorials on **classification**, **clustering**, **anomaly detection**, **regression**, and other fundamental topics.\n\n## Key Concepts Covered:\n\n### 1. **Classification Algorithms**\n   - Logistic Regression\n   - Decision Trees (using PyTorch-based custom models)\n   - Multi-Layer Perceptron (MLP)\n   - Convolutional Neural Networks (CNN)\n\n### 2. **Clustering Algorithms**\n   - k-Means Clustering (Implemented with PyTorch)\n   - Custom Clustering Models\n\n### 3. **Regression Models**\n   - Linear Regression\n   - Polynomial Regression\n   - Neural Networks for Regression\n\n### 4. **Anomaly Detection**\n   - Autoencoders for Anomaly Detection\n   - Isolation Forest (using PyTorch-based models)\n\n### 5. **Deep Learning Models**\n   - Neural Networks (Feedforward, CNN, RNN, LSTM)\n   - Transfer Learning: Leveraging pre-trained models like ResNet for custom tasks.\n   - Transformers: Applied to sequence-to-sequence tasks such as text generation and translation.\n   - \n### 6. **Model Evaluation and Tuning**\n   - Cross-Validation\n   - Hyperparameter Tuning using Grid Search\n   - Model Evaluation Metrics (Accuracy, Precision, Recall, F1-Score)\n\n### 7. **Time Series Analysis with LSTMs**\n   - LSTM for Sequential Data Forecasting\n   - Time Series Forecasting using PyTorch-based RNN/LSTM models\n\n## Technologies Used\n\n- Python\n- **PyTorch**\n- NumPy\n- Pandas\n- Matplotlib/Seaborn (for visualization)\n\n## Installation\n\nClone this repository to your local machine:\n\n```bash\ngit clone https://github.com/fawadeqbal/DataScience.git\ncd Data-Science\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffawadeqbal%2Fdata-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffawadeqbal%2Fdata-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffawadeqbal%2Fdata-science/lists"}