This book can be recommended for any basic courses in data mining and machine learning (ML). It can also be a very useful book for those conducting research in supervised and unsupervised learning techniques. This book can be the first step in understanding data mining, machine learning and its applications in real-life data, giving special attention to classification and clustering techniques. It offers a crisp and compact discussion on data mining and machine learning techniques with some case studies and real-life examples. It discusses certain short real-life projects that
can help students get a clear idea about application of topics, and, finally, it discusses a set of industry-based questions and solutions to help prepare a candidatefor the position of data scientist or data engineer.
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