This book is about Implementation of Machine Learning Algorithms for efficient Brain Tumor Detection. In the introduction, we will discuss about different image segmentation methods. Next,we will analyze different machine learning algorithms for brain tumor detection. Then, we did extensive literature review on existing methods. In following chapters, we discussed about three methods which are extensions of existing machine learning methods, but provide better better detection of tumors in brain. All corresponding results of each method is tabulated and discussed.

This is book is about Applications of Data Structure and Graph Theory concepts using C programming. We will discuss both Linear and Non-Linear data structures along with Graph concepts. Linear data structures include concepts like Arrays, Linked Lists, Stacks and Queues. Non-Linear Data structures includes concepts like Graphs and Trees. We then included sorting and searching techniques. We further included concepts related to Hashing along with their implementation. At last, we covered concepts related to Graphs in detail. This textbook mainly includes all programs related all concepts...

Data Science is a combination of statistics, data analysis, and machine learning techniques to analyze structured or unstructured data and extract knowledge and insights from it through a process of analyzing, programming, and business skills. In this book, Unit-1 gives the difference between Big Data and Data Science. Unit-2 had some aspects of Mathematics and statistics which helps in effective the Data Science process. Machine Learning techniques along with Regression analysis were discussed briefly in Unit-3,4,5. In Unit-6, Concepts of Data visualization were summarized.