The problem MLPlayer solves

A useful portal for pre-preprocessing of data without much hassle. Validation of data, missing values, unique value, feature distribution and data visualization and correlation between features is taken care of by this application. After processing, it also provides analysis of preffererd model for the dataset from a set of models. Also hyperparameters are tuned, which increases the accuracy of prediction.

Challenges we ran into

Connecting ML models to flask required a lot of changes accompanied by errors.