Photo by Author | Chat GPTMachine Learning is a wide and dynamic field consisting of many domains, including computer vision, natural language processing, cover machine learning algorithm, reinforcement learning and more. Although taking courses can help you learn theoretical foundations, they often do not provide experiences to solve real -world problems or to showcase potential employers to demonstrate their abilities.
As a machine learning engineer, it is necessary to make a diverse portfolio of plans to show both your technical skills and your practical experience.
In this article, we will review 10 gut hubs, including combinations of machine learning projects. Each reservoir includes example codes, lessons, and leaders to help you learn and enhance your portfolio with real, real -world plans.
Gut hub storage for machine learning projects
1. The final deep learning resource list
Link: Cristos Christophoids/awesome deep Learning
A comprehensive collection of excellent depressing lessons, projects, books and communities. This storage is essential for everyone who remains updated with nerve networks, reinforcement, and the latest AI research.
2. 500+ Machine Learning and AI projects with code
Link: Escappy 26/500-AI-Machine-Learning-Deep-Learning-Computer-Vission-NLP-Projects-ATH-CODE
Discover more than 500 real -world projects that include machine learning, deployment, computer vision, and NLP. Hands on is the best for learning hand -on -handing in diverse domains.
3. The inspiring machine learning project Ideas
Link: Nyrnetic/awesome project-iDas
A list of machine learning, NLP, computer vision, and a list of project ideas spread over the proposer system. Great is great to give birth to Pyarea and has been suggested for the last year for students and graduates.
4. High -deep learning projects on Gut Hub
Link: Omec dimin/top department
A list of deep learning plans on the gut hub through the stars. While many of these projects, some of them are deep learning framework, tools and resources.
5. Data Analysis and Machine Learning Project Library
Link: River/Data Analysis and Machine Learning Projects
It is full of teaching content, codes, and datases for storage data analysis and machine learning projects. If you are a machine learning educator, this source is perfect for you to create lessons for your class or help students learn the concepts of machine learning more efficiently.
6. Great Generative AI projects
Link: Steveen 2358/Terrible Generato-A
A collection of modern generative AI projects and services, including text, image, audio, and video generation tools. These tools and services can help you easily produce your projects or products. Given the growing focus on Generative AI, this source is ideal for early people.
7. Learning Machine with: Money Projects
Link: Devamoghs/Machine Learning-Oz of Marewage
This collection includes small -scale machine learning projects that are designed to help you understand the basic concepts. You will learn to build and implement machine learning models using SC Skat Learns of Regulation and Ranking to solve various problems.
8. Kagal Solution and Winning ideas
Link: Farid Rashidi/Kagal Solutions
A comprehensive combination of Kagal competitive solutions and ideas. This storage is especially useful because you can learn from high machine learners and how they solve different variars of winning competitions. Of the about 4,000 competitions, only three are honored, meaning you will find the best solutions and ideas for your projects.
9. Amazing Langchin Tolls and Projects
Link: Carolobus/awesome Langchin
A list of tools and projects made with the Langchen Framework, which is known for the manufacture of large language models and applications operated by AI agents. Discover what the developer is building using a large language model (LLM) and being inspired for their plans or startups, especially when investors want to join this AI trend.
10. Machine Learning and Deep Learning Compandium
Link: Oria/www.mlcompendium.com
An open knowledge sharing project of Dr. Auri Cohen that sets references, lessons and resources to learn machine and learn deep. This is a valuable resource for enhancing your knowledge and finding reliable learning content.
Conclusion
Learning is the best policy. By working on these projects, you are not just exercising, you are making a portfolio and personal brand. Your job will show your creativity and skills to solve the problem in the world. To stay beyond curves and accelerate your development, regularly discover the reserves of these machine learning project and start making your own portfolio today.
Abid Ali Owan For,,,,,,,,,, for,, for,,,, for,,,, for,,, for,,,, for,,,, for,,,, for,,, for,,, for,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,,, for,,, for,,, for,,, for,,, for,,,,, for,,,, for,,,, for,,,, for,, for,.@1abidaliawan) A certified data scientist is a professional who loves to create a machine learning model. Currently, he is focusing on creating content and writing technical blogs on machine learning and data science technologies. Abid has a master’s degree in technology management and a bachelor’s degree in telecommunications engineering. Its vision is to create AI products using a graph neural network for students with mental illness.