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In this analysis, We are getting familiar to the tools including Python, numpy, matplotlib, pandas, and Jupyter notebook. I chose two dataset i.e one for classification and one for regression. The data sets are large enough more than 10,000 samples and more than 10 feature values. In this analysis, we are visualizing the data by prepossessing data, and then analyzing it to find some research questions and answering them by visualizing it through graphs and charts. while doing this , we learnt a lot of things and went through many resources. Below are some of the concepts that needs to be learned before jumping directly into Machine learning.

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