Making visualizations, machine learning, and data analysis easier for you! (As seen winning 4th in the CMU UEA Startup Pitch Competion!) Also take some time to view our business plan, pitch deck, UI prototypes, and more.
MLforALL guides you in learning about and experimenting with machine learning without coding experience. This is done by providing an accessible all-in-one platform for machine learning education. We aspire to act as an equalizer in this important field by exposing people to a personalized machine learning experience with three core ideas: create, explore, play.
- Create. To create a project, all users need to do is upload data or select one of our examples! MLforAll guides users through a step-by-step process of creating a model. Follow explanations as to why users are choosing certain parameters and read in-depth explanations of different types of models and math.
- Explore. As users create their projects, they can share it with our community of fellow learners. This offers a great way for both new users to get acquainted with projects and old users to present personal projects they are proud of.
- Play. Some learn by doing, others by reading, but most learn by doing both. MLforALL encourages this style of learning with not only an intuitive create process, but also an in-house platform to test, experiment with, and play with machine learning models. See what your model would predict and edit your models as necessary!
Use the links to view more in-depth README.md files throughout the repo.
- Materialize-CSS
- Material-UI
- ReactJS
- Redux
- Firebase Authentication, Firestore
- Flask RestAPI
- Google Cloud Platform, Storage, Run
- scikit-learn
- Pandas