{"id":19704052,"url":"https://github.com/mayankyadav23/machine-learning-with-python","last_synced_at":"2026-05-01T22:35:53.812Z","repository":{"id":260876355,"uuid":"882555798","full_name":"mayankyadav23/Machine-Learning-with-Python","owner":"mayankyadav23","description":" 🚀 A collection of machine learning projects using TensorFlow and Python, showcasing practical applications in prediction 🤖 and classification 📊. Dive in to explore! 🐍✨","archived":false,"fork":false,"pushed_at":"2024-11-05T11:57:37.000Z","size":93604,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-27T17:11:45.617Z","etag":null,"topics":["freecodecamp","machine-learning","predictive-modeling","python","tensorflow"],"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/mayankyadav23.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":"2024-11-03T05:06:10.000Z","updated_at":"2024-11-05T11:57:41.000Z","dependencies_parsed_at":null,"dependency_job_id":"05e05de9-86bb-41bf-a390-380a80bee5d1","html_url":"https://github.com/mayankyadav23/Machine-Learning-with-Python","commit_stats":null,"previous_names":["mayankyadav23/machine-learning-with-python"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mayankyadav23/Machine-Learning-with-Python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayankyadav23%2FMachine-Learning-with-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayankyadav23%2FMachine-Learning-with-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayankyadav23%2FMachine-Learning-with-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayankyadav23%2FMachine-Learning-with-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mayankyadav23","download_url":"https://codeload.github.com/mayankyadav23/Machine-Learning-with-Python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayankyadav23%2FMachine-Learning-with-Python/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32515838,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"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":["freecodecamp","machine-learning","predictive-modeling","python","tensorflow"],"created_at":"2024-11-11T21:19:54.181Z","updated_at":"2026-05-01T22:35:53.789Z","avatar_url":"https://github.com/mayankyadav23.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning with Python 🤖📊\n\n## Overview\nMachine learning has numerous practical applications that can enhance your projects or career. This repository contains materials and projects from the **Machine Learning with Python Certification** ***by Free Code Camp***, which you have successfully completed. In this course, you'll learn to build neural networks using the TensorFlow framework and explore advanced techniques like natural language processing and reinforcement learning.\n\n## Certification\n![Screenshot 2024-11-05 172113](https://github.com/user-attachments/assets/578ccf98-fbf5-4c87-9715-a251b774562e)\n\n## Course Content\n\n### TensorFlow\nTensorFlow is an open-source framework that simplifies the process of machine learning and neural networking. The course created by **Tim Ruscica** (also known as “Tech With Tim”) covers the powerful capabilities of TensorFlow. \n\n- Comprehensive introduction to TensorFlow\n- Hands-on experience building neural networks\n\n### How Neural Networks Work\nNeural networks are at the core of modern artificial intelligence. This course, led by **Brandon Rohrer**, demystifies neural networks, making them accessible to beginners. \n\n- Deep dive into:\n  - How Deep Neural Networks Work\n  - Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)\n  - Deep Learning fundamentals\n  - How Convolutional Neural Networks work\n\n## Machine Learning Projects\nThe certification includes several hands-on projects designed to solidify your understanding of machine learning concepts. By completing these projects, you demonstrate foundational knowledge in machine learning, qualifying for the **Machine Learning with Python certification**.\n\n### Projects List\n1. **[Rock Paper Scissors](https://github.com/mayankyadav23/Machine-Learning-with-Python/tree/main/Rock%20Paper%20Scissors)** ✊✋✌️\n   - **Description**: Build a model to play the game Rock Paper Scissors against users. Implement a strategy that allows the model to learn from previous moves.\n\n2. **[Cat and Dog Image Classifier](https://github.com/mayankyadav23/Machine-Learning-with-Python/tree/main/Cat%20and%20Dog%20Image%20Classifier)** 🐱🐶\n   - **Description**: Create a classifier that distinguishes between images of cats and dogs using convolutional neural networks. Train the model on a dataset of labeled images.\n\n3. **[Book Recommendation Engine using KNN](https://github.com/mayankyadav23/Machine-Learning-with-Python/tree/main/Book%20Recommendation%20Engine%20using%20KNN)** 📚\n   - **Description**: Develop a K-Nearest Neighbors algorithm to recommend books based on user preferences and ratings from the Book-Crossings dataset.\n\n4. **[Linear Regression Health Costs Calculator](https://github.com/mayankyadav23/Machine-Learning-with-Python/tree/main/Linear%20Regression%20Health%20Costs%20Calculator)** 💰\n   - **Description**: Predict healthcare costs using linear regression on provided datasets. Analyze factors affecting health costs and implement a model to forecast expenses based on user data.\n\n5. **[Neural Network SMS Text Classifier](https://github.com/mayankyadav23/Machine-Learning-with-Python/tree/main/Neural%20Network%20SMS%20Text%20Classifier)** 📱\n   - **Description**: Classify SMS messages as either \"ham\" or \"spam\" using a neural network. Train the model on the SMS Spam Collection dataset to accurately predict message classifications.\n\n## Contact Information\nFor any inquiries or feedback, please feel free to reach out:\n\n- **Name**: Mayank Yadav\n- **Email**: [mayanky075@gmail.com](mailto:mayanky075@gmail.com)\n- **LinkedIn**: [LinkedIn Profile](https://www.linkedin.com/in/mayankyadv/)\n\n## Getting Started\nTo get started with this repository, follow these steps:\n\n1. **Clone the Repository**:\n   ```bash\n   git clone https://github.com/mayankyadav23/Machine-Learning-with-Python.git\n   cd Machine-Learning-with-Python\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmayankyadav23%2Fmachine-learning-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmayankyadav23%2Fmachine-learning-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmayankyadav23%2Fmachine-learning-with-python/lists"}