Where to put my Machine Learning knowledge on practice?

That's really good to know then learn some python frameworks like tensorflow, pytorch, scikit learn, pandas, numpy, matplotlib, opencv-python and many more accordingly from the official documentation or any site or YouTube channel. For bringing them to practice you may do it in the kaggle environment or Google colabs or your local machine if the datasets are small along with any built-in gpu if available. Happy coding!!!

You can put your machine-learning knowledge into practice in several ways. Start by exploring datasets and participating in competitions on platforms like Kaggle. Build real-world projects such as stock price prediction, image classification, or recommendation systems. Contribute to open-source projects on GitHub to gain collaborative experience. You can also look for freelancing gigs or internships to apply your skills in a practical setting. Create a personal portfolio to showcase your projects, and consider joining hackathons or using platforms that offer hands-on ML projects. The key is to start building — even small projects can lead to valuable learning. For more on related topics, you can read <a href="https://thedailyjournalist.com/the-reviewer/10-hidden-reasons-behind-your-cravings-how-to-control-them/">this article</a>.