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Data cleansing is a critical step for data preparation. The values lost in the database are a common problem faced by data analysts. Missing values in data mining is continual troubles that can grounds errors in data analysis. Randomly missing elements in the attribute/dataset make data analysis complicated and also confused to consolidated result. It affects the accuracy of the result and intermediate queries. By using statistical / numerical methods, one can recover the missing data and decrease the suspiciousness in the database. The present research gives an applied approach of Newton...

Artificial intelligence is making a new world with the most advanced technology like machine learning, deep learning, computer vision and Robotics process automation. The techniques are making human to reduce their physical efforts, save times and accuracy more than human where human can't perform those task. With human effortless, as lots of research are done in this filed, its uses of application are also developed like self-driving card, face recognition, emotion recognition, speech recognition and many more. In this research, we are implemented a smart classroom technique using computer...