Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 102+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
In this machine learning project, you will use the video clip of an IPL match played between CSK and RCB to forecast key performance indicators like the number of appearances of a brand logo, the frames, and the shortest and longest area percentage in the video.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
In this data science project, we are going to work on video recognization data and a robust level of image recognization MNIST data.
There’s a big trend happening in the world of machine learning- data enthusiasts are flocking towards a popular machine learning framework developed by “Google Brain”-TensorFlow which facilitates easy incorporation of self-learning elements and artificial intelligence features such as computer vision, MLP, voice recognition into applications. With big names like Airbus, SnapChat, AirBnB, Dropbox and Uber adopting TensorFlow for machine learning, the demand for TensorFlow is evident. Data enthusiasts and programmers are compelled to learn TensorFlow but finding actual case studies for hands-on practice is an uphill battle. Industry experts at ProjectPro have curated a bundle of TensorFlow projects that will help data scientists, data engineers, programmers and students interested in learning how to apply machine learning in practice using TensorFlow library.