Work on real-time data science projects with source code and gain practical knowledge. Showcase your skills to recruiters and get your dream data science job. The data science projects are divided according to difficulty level - beginners, intermediate and advanced.

Happiness in the present is only shattered by comparison with the past. Regression analysis does not require any separate introduction today. In fact, it would be hard to find a field of study that can put a bet and win for not using this technique at least once in their life cycle. There exists a relationship, waiting to be explored by someone through some variant of regression technique. Ever since mathematicians Adrien-Marie Legendre and Carl Friedrich Gauss invented this technique in the early 19th century, the world has been experiencing at least one use case every day; by some human being alive in the world.

Jury is an evaluation package for NLG systems. It allows using many metrics in one go. Also, it implements concurrency among evaluation metrics and supports evaluating with multiple predictions. Jury uses datasets package for metrics, and thus supports any metrics that datasets package has. Default evaluation metrics are, BLEU, METEOR and ROUGE-L.

This Data Science project intends to provide an image-based automatic inspection interface. It entails the use of self-designed image processing and deep learning methods. It will classify plant leaves as healthy or infected. There are many popular deep learning projects on the MRI scan dataset. One of them is Brain Tumor detection.