Data Analytics and Dashboard on Uber's Trip Dataset
Anomalies detection using keras and tensorflaw in S&P 500 dataset.
Data Analysis for IPL matches from 2008 - 2019 and predicting winner using SVM classifier.
Cataract is the most widespread causes of blindness. Early detection or precautions could reduce the suffering from cataract to the patients and mitigate the visual disability from turning into total blindness. But the cost may cause difficulties to everybody’s early interventions, because the expertise trained eye specialists cannot be afforded by everyone. Based on the data provided on Kaggle.com, we are trying to build a model that predict whether the patient is suffering from cataract or not.
The extensive use of cheques in daily life make the advancement of the conventional cheque clearing method. "Cheque Clearing System" is a portal which renders smooth, effective and convenient clearing of cheques. It enables to deal with different banks transaction. Receiver cashier can upload the scanned copy of cheque issued by another bank or same bank further clearance done by the admins with the verification of the sender bank. This system is developed using Python Flask Framework, HTML, CSS, Bootstarp, Google Vision API, MySQL, and Machine Learning algorithm SVM.