Abstract: To study the instructions which are being governed by a procedure, when the first machines are to follow a learning pattern and then to try for various rules and knowledge within which it is found that how the machine is to perform, that is called as Machine Learning. In this paper the various abilities and working implementations of machine learning as a tool is studied and analyzed with the help of case study in linear regression and logistic regression using python language. This also shows the coherence and application of machine learning algorithms by the prediction of various events that are considered in this study.
Keywords: M LAlgorithms, sampling, train and test, Python language.
| DOI: 10.17148/IJARCCE.2020.91120