Machine Learning & AI Hands on 3 Projects — Udemy — Last updated 9/2020 — Free download Get well verse with Machine learning and AI by working on hands-on projects What you’ll learn Machine Learning and its applications Building End to End Machine Learning Projects Deployment of Machine & Deep learning algorithms Requirements Python scikit-learn Machine learning Deep Learning Flask Description Do you feel overwhelmed going through all the AI and Machine learning study materials? These Machine learning and AI projects will get you started with the implementation of few very interesting projects from scratch. The first one, a Web application for Object Identification will teach you deploying a simple machine learning application. The second one, Dog Breed Prediction will help you building & optimizing a model for dog breed prediction among 120 breeds of dogs. This is built using Deep Learning libraries. Lastly, Credit Card Fraud detection is one of the most commonly used applications in the Finance Industry. We talk about it from development to deployment. Each of these projects will help you to learn practically. You know !! Project-based learning has proven to be one of the most effective ways to engage students and provide a practical application for what they’re learning and it provides opportunities for students to collaborate or drive their own learning, but it also teaches them skills such as problem-solving and helps to develop additional skills integral to their future, such as critical thinking and time management Who this course is for: Python developers looking for a future in machine learning and Artificial Intelligence (AI). Machine learning learners looking for live projects to learn from. Python and Machine learning developers looking for hands on projects to work on Artificial Intelligence (AI). DOWNLOAD Filename: Machine learning & AI Hands on 3 Projects.zip (download) Filesize: 1.37 GB Course content: https://www.udemy.com/course/machine-learning-and-ai-with-hands-on-projects/ Скачать с облака. Download from the cloud
