Abstract
Machine learning (ML) is widely popular these days and used in wide variety of domains for prediction of outcomes. In machine learning lot of algorithms exists for predicting the outcomes. But choosing the right algorithm according to the domain plays a very important in deciding the performance of the algorithm. This paper consists of five sections is organized in following way first section deals about collection of data from various resources, second section deals about data cleaning, third part deals about choosing the correct ML algorithm, fourth part deals about gaining knowledge from models and final part deals about data visualization.
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