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Acupressure - Prakritik Upchar: Discover the Power of DIY Healing with Dr. Attar Singh's Book
With simple techniques and easy-to-follow instructions, this book empowers individuals to cure numerous ailments by simply applying pressure to specific acupressure points on the hands and feet. Featuring vivid diagrams charts for enhanced understanding, Dr. Attar Singh's.
In this must-read book for anyone striving to succeed, pioneering psychologist Angela Duckworth shows parents, educators, students, and business people both seasoned and new that the secret to outstanding achievement is not talent but a focused persistence called grit.
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There just isn't enough time for everything on our to-do list?and there never will be. Successful people don't try to do everything. They learn to focus on the most important tasks and make sure those get done. They eat their frogs.
Do you want to feel happier, more positive and less stressed?Do you feel anxious or overwhelmed by your fast-paced life?Do you want to break the cycle of unhappiness and achieve inner peace?If you answered ‘yes’ to one of these questions, then this book is for you. Manuel Villa, Spain’s Mindfulness and Zen expert, and Marc Reklau, author of many international bestsellers, have joined forces to bring you Mindful Zen Habits.
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Looking to take control of your time, habits, and focus? How To Be Disciplined by Sheldon Howe is the perfect guide for anyone who wants to stop procrastinating and start getting things done. It's simple, practical, and packed with tips you can start using right away.
In a world filled with distractions and instant gratification, discipline is a superpower. How To Be Disciplined by Sheldon Howe helps you harness that power to take control of your habits, time, and goals -- no matter what stage of life you're in. It's a must-read for students, professionals, entrepreneurs, and anyone ready to take their productivity and self-mastery to the next level.
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You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them. We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Neural Networks. For each of these algorithms, you will work hands-on with open-source datasets and use python programming to program the machine learning algorithms.
There are plenty of computational tools are available for numerical analysis, but few packages are existing for symbolic computations such as Mathematica, Maple and Matlab are exceptionally powerful tools for symbolic computations, but having huge price tags.