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This is a course on physics."Physics 101" refers to an introductory college-level physics course. It's typically the first course in a physics sequence and covers fundamental concepts, often without requiring extensive prior knowledge of mathematics or physics. The content usually includes mechanics (motion, forces, energy), and possibly some introductory thermodynamics, with a focus on building a foundational understanding of the subject. It's designed to be accessible to a broad range of students, and often emphasizes problem-solving skills.

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A basic physics course introduces fundamental concepts and principles in physics, typically covering mechanics (motion, forces, energy), thermodynamics (heat, temperature), and possibly introductory electricity and magnetism. The level of mathematical rigor varies depending on the course, but generally focuses on building a conceptual understanding of physical phenomena.

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The text "Basic course on physics" describes an introductory-level educational program focused on the fundamental principles and concepts of physics. It suggests a structured learning experience, likely encompassing lectures, assignments, and potentially laboratory work, designed for beginners with little to no prior knowledge of the subject.

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"Physics 101" refers to an introductory college-level physics course. It's typically the first course in a physics sequence and covers fundamental concepts, often without requiring extensive prior knowledge of mathematics or physics. The content usually includes mechanics (motion, forces, energy), and possibly some introductory thermodynamics, with a focus on building a foundational understanding of the subject. It's designed to be accessible to a broad range of students, and often emphasizes problem-solving skills.

Course rating: 5.0(1)

1 on 1 Math Tutoring

Fundamentals of differentiation in a simplified format. Learn basic concepts and methodology behind solving mathematical problems on differentiation.

Course rating: 5.0(1)
Course rating: 4.0(1)

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Course rating: 3.0(2)

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Course rating: 5.0(1)

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Introduction to Machine learning using Python programming language and familiarising popular libraries like Scikit-learn.

Artificial neural networks with multiple layers (deep neural networks) to learn and represent complex patterns and relationships in data.

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Course rating: 4.0(1)