Search

In recent world data analytics is more popular term in the field of computer science. The paper focuses on the compressive survey of various data analysis tools to connect with the people by just reading their data. Some of the most popular data analysis tools have been chosen, and a comparison has been made based on some key parameters to determine the best tool in the data science industry. Scenes can uses a huge collection of data information to analyze, predict, and deliver information such as the whole determined by various countries, HEIs, government, universities, and schools. In this paper data analytics tools has taken in account with the consideration of different parameter as Cost, data handling capabilities, graphical capabilities, big data, and other considerations. Comparative study has been made using own experiences on various data analysis tools. [ABSTRACT FROM AUTHOR]

This study makes a speciality of a way to use the Statistical Analysis for Data Science approach to a real-international commercial enterprise scenario. Through this paper, the prominence of the Statistical Learning is known. Statistical Learning helps us, locating out the answer for a statistical inferential trouble through which it is easy to discover a predictive characteristic primarily based on the information we have. Statistical learning performs a distinguished position in the various fields like Computer Vision, Speech Recognition, Emotion and Gender identification of Data Science. [ABSTRACT FROM AUTHOR]

Esports domain is growing with an goal to give the player a skill set to improve his skills. The paper, gives detail analysis performed on a dataset which is built by our team. The data used in the dataset is collected from Counter-Strike: Global Offensive (CS:GO) world championship major where top teams from all over the world had participated. The main goal was to create a customized dataset, predict the winning percentage for a team based on various features. It also provides descriptive analysis for a team's performance and prescriptive analysis for any improvements required to made by the team in order to improve their winning percentage and implementing different machine algorithms on the same. Extra features such as assigning roles, ranking and rating were also performed to provide in depth results. [ABSTRACT FROM AUTHOR]