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Hi, I'm Ashika! With over 3 years of tutoring experience and a role as a teaching assistant at university, I am passionate about helping students achieve their academic goals. I believe that with the right resources and mindset, any student can excel, and I am dedicated to supporting you in that journey. I think the most important thing with math is practice and learning from mistakes. Each incorrect answer is an opportunity to understand the correct approach for future problems! In addition to math, I can assist high school students with both basic and advanced computer programming concepts. Mathematics Topics: -Algebra -Geometry -Trigonometry -Calculus (AP and beyond) -Probability and Statistics -Problem-Solving Techniques Curriculums Covered: IGCSE, A-Levels, IB, CBSE About My Sessions: I believe that engagement and active participation are key to learning math, especially in a one-on-one setting. My approach focuses on practice and working through questions, which helps identify and address the student's main areas of difficulty. By using exam questions and worked examples, I can follow the student's thought process and provide targeted assistance to help them grasp challenging concepts. Whether you're aiming to boost your scores on standardized tests or striving for excellence in your coursework, I’m here to guide you. I tailor each session to your specific learning needs and am open to suggestions on additional topics or concepts to cover. Together, we will work on improving weaknesses and enhancing strengths, preparing you for future success.

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I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham. What I cover: Python for data science and ML (NumPy, Pandas, Scikit-learn) Deep learning with TensorFlow and Keras Core ML concepts: regression, classification, clustering, neural networks, CNNs Computer vision and image classification (my published research area) University coursework support, dissertation help, project guidance Help with Kaggle competitions and personal portfolio projects How I teach: I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects. Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.

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Personalized support for students, freelancers and entrepreneurs wishing to succeed in their IT projects. Help with: Project structuring Technology choices Specifications Code correction and improvement University projects (final year projects, final year projects, dissertations) Finalization and delivery of the project

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Want to make a career in coding or stuck with your school/college syllabus. Here is the solution. I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief summary of our syllabus content which we'll be covering Introduction to Java programming • The Java Virtual Machine • Variables and data types • Conditional and looping constructs • Arrays Object-oriented programming with Java Classes and Objects • Fields and Methods • Constructors • Overloading methods • Garbage collection • Nested classes Inheritance • Overriding methods • Polymorphism • Making methods and classes final • Abstract classes and methods • Interfaces Exception handling with try-throw-catch-finally constructs • The Exception class The Object class • Cloning objects • The JDK LinkedList class • Strings • String conversions Working with types: Wrapper classes • Enumeration interface Packages • Package access • Documentation comments Applets • Configuring applets • Applet capabilities and restrictions Basics of AWT and Swing • Layout Managers • Event Handling • The Action Listener interface • Panels • Classes for various controls, such as label, choice, list, • Checkbox, etc. • Dialogs and frames • Using menus • Using the adapter classes • Graphics Threads • Synchronization The I/O Package • InputStream and OutputStream classes • Reader and Writer classes Basic concepts of networking • Working with URLs • Concepts of URLs • Sockets Database connectivity with JDBC • Java security In case you have any query, feel free to contact me. Give yourself a chance for a better future All the best

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Explain the lessons of finite and infinite calculus with applications on calculus Explanation of Diff & Integral. Applications on calculus. Are and volume calculations for solids boundaries by curves In an easy and simplified way, with the solution of the examples mentioned in the previous exams and Assignments & Quizzes