{"id":25821418,"url":"https://github.com/eftekin/ai-engventures","last_synced_at":"2025-08-31T16:38:09.502Z","repository":{"id":249897989,"uuid":"789554024","full_name":"eftekin/AI-EngVentures","owner":"eftekin","description":"🤖 A collection of projects and experiences in AI engineering, including machine learning, NLP, and computer vision.","archived":false,"fork":false,"pushed_at":"2025-02-16T20:31:35.000Z","size":65369,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-28T16:51:55.353Z","etag":null,"topics":["ai","computer-vision","deep-learning","image-processing","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/eftekin.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-04-20T21:55:49.000Z","updated_at":"2025-02-16T20:31:44.000Z","dependencies_parsed_at":"2025-02-16T21:32:41.392Z","dependency_job_id":null,"html_url":"https://github.com/eftekin/AI-EngVentures","commit_stats":null,"previous_names":["eftekin/ai-engventures"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/eftekin/AI-EngVentures","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eftekin%2FAI-EngVentures","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eftekin%2FAI-EngVentures/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eftekin%2FAI-EngVentures/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eftekin%2FAI-EngVentures/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/eftekin","download_url":"https://codeload.github.com/eftekin/AI-EngVentures/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eftekin%2FAI-EngVentures/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273010870,"owners_count":25030367,"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":"2025-08-31T02:00:09.071Z","response_time":79,"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":["ai","computer-vision","deep-learning","image-processing","machine-learning"],"created_at":"2025-02-28T10:55:12.532Z","updated_at":"2025-08-31T16:38:09.480Z","avatar_url":"https://github.com/eftekin.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🚀 AI EngVentures\n\nWelcome to the **AI EngVentures** repository! This repo is a collection of my explorations, projects, and insights in artificial intelligence, computer vision, image processing, and machine learning. Through various projects and topics, I aim to deepen my understanding and share my learnings in these fields.\n\n## 🗂️ Contents\n\n### 1. 🤖 [Machine Learning](./machine_learning)\n\nDive into feature engineering, supervised learning, and upcoming unsupervised learning models:\n\n- **Feature Engineering**: Techniques for transforming and scaling data.\n- **Supervised Learning**: Projects covering linear regression, logistic regression, and k-nearest neighbors algorithms.\n- **Unsupervised Learning** Projects featuring K-Means clustering, PCA (Principal Component Analysis), and more.\n\n### 2. 🛠️ [Projects](./projects)\n\nReal-world applications of AI and machine learning techniques:\n\n- **🩺 [Cancer Classifier](./projects/supervised_learning/cancer_classifier)**: A model to predict cancer based on diagnostic data.\n- **🍯 [Honey Production](./projects/supervised_learning/honey_production)**: Predicting honey production using regression techniques.\n- **💳 [Credit Card Fraud Detection](./projects/supervised_learning/predict_credit_card_fraud)**: Identifying fraudulent transactions with logistic regression.\n- **🎾 [Tennis Ace](./projects/supervised_learning/tennis_ace)**: A project exploring data analysis in sports.\n- **🚩 [Find the Flag!](./projects/supervised_learning/find_the_flag)**: Predict the continent of a flag using decision trees and features like colors and shapes. [Dataset](https://archive.ics.uci.edu/ml/datasets/Flags)\n- **🧰 [Transforming Data into Features](./projects/feature_engineering/transforming_data)**: Transform customer review data by scaling, encoding categorical variables, and handling date-time features. [Dataset from Kaggle](https://www.kaggle.com/datasets/nicapotato/womens-ecommerce-clothing-reviews).\n- **📝 [Wrapper Methods](./projects/feature_engineering/wrapper_methods)**: Use logistic regression to predict obesity and explore feature selection with wrapper methods. Dataset: [Obesity Data Set](https://archive.ics.uci.edu/dataset/544/estimation+of+obesity+levels+based+on+eating+habits+and+physical+condition).\n- **✍️ [Handwriting Recognition](./projects/unsupervised_learning/handwriting_recognition_kmeans)**: Use K-means clustering to recognize and group images of handwritten digits, leveraging scikit-learn for clustering analysis. [Dataset from scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html).\n- **📧 [Email Similarity Classification](./projects/supervised_learning/email_similarity)**: A project that classifies emails into categories (hardware or hockey) using the Naive Bayes algorithm. This project utilizes the `fetch_20newsgroups` dataset and includes functionalities for predicting email categories based on user input.\n- **🍷 [Predict Wine Quality with Regularization](./projects/supervised_learning/predict_wine_quality)**: Classify wine quality (good/bad) with logistic regression, ridge, and lasso regularization. [Wine Quality Dataset](https://archive.ics.uci.edu/ml/datasets/Wine+Quality)\n- **🌲 [Random Forests Project](./projects/supervised_learning/random_forests)**: Predict income \u003e$50K from census data. [Dataset](https://archive.ics.uci.edu/ml/datasets/census+income)\n- **🔧 [Building ML Pipelines](./projects/machine_learning/ml_pipelines)**: Pipeline for pediatric bone marrow transplants, including preprocessing and classifier selection to predict survival.\n\n### 3. 🖼️ [Computer Vision and Image Processing](./computer_vision_and_image_processing)\n\nExplore core concepts of image processing and computer vision, covering topics such as:\n\n- **Image Processing Fundamentals** (Filtering, edge detection)\n- **Geometric Transformations**\n- **Pixel Transformations**\n- **Object Detection**\n- **Logistic Regression for Vision Tasks**\n- **Neural Networks for Vision Applications**\n\n### 4. 📐 [Math for AI Engineering](./math_for_ai_engineering)\n\nUnderstand the mathematical foundations required for AI, including:\n\n- **Linear Algebra**\n- **Probability**\n- **Statistics**\n\n## 🤝 How to Contribute\n\nIf you'd like to contribute:\n\n1. Fork this repository.\n2. Create a new branch.\n3. Make your changes and submit a pull request.\n\nI'm open to contributions and feedback, so feel free to reach out with any ideas!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feftekin%2Fai-engventures","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feftekin%2Fai-engventures","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feftekin%2Fai-engventures/lists"}