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Ncert explaner
NCERT Exemplar Problems - Solutions Chemistry (Class 12) is a comprehensive book for students of standard XII studying in schools affiliated to the Central Board of Secondary Education. The book comprises chapters on solid state, solution, electrochemistry, chemical kinetics, surface chemistry, p-block elements, d- and f-block elements, coordination compounds, amines, biomolecules and chemistry in everyday life. In addition, the book consists of several multiple choice questions and chemical equations for better understanding of concepts. This book is essential for students preparing for various engineering and medical entrance examinations.
NCERT exemplar
NCERT Exemplar Problems - Solutions Physics (Class 12) is a comprehensive book for students of standard XII studying in schools affiliated to the Central Board of Secondary Education. The book comprises chapters on electric charges and fields, electrostatic potential and capacitance, current electricity, magnetism and matter, alternating current, electromagnetic waves, wave optics and dual nature of radiation and matter. In addition, the book consists of several multiple choice questions for thorough revision and final practice. This book is essential for students preparing for various engineering entrance examinations.
Data Science from Scratch
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
The Magic Of Thinking Big
More than 6 million readers around the world have improved their lives by reading The Magic of Thinking Big. First published in 1959, David J Schwartz's classic teachings are as powerful today as they were then. Practical, empowering and hugely engaging, this book will not only inspire you, it will give you the tools to change your life for the better - starting from now. His step-by-step approach will show you how to:- Defeat disbelief and the negative power it creates- Make your mind produce positive thoughts- Plan a concrete success-building programme- Do more and do it better by turning on your creative power- Capitalise on the power of NOWUpdated for the 21st century, this is your go-to guide to a better life, starting with the way you think.
