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162 private teachers in Salford

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162 private teachers in Salford

Sijabuliso - Manchester18€
18€GCSE and A Level Chemistry (Physical, Inorganic and Organic)
Chemistry, whether at the GCSE or A-Level, offers students an exciting journey into the building blocks of our world and equips them with a foundational understanding of matter and its transformations. At the GCSE level, students are introduced to key concepts such as atomic structure, the periodic table, bonding, and chemical reactions. Through hands-on experiments, they explore how elements combine to form compounds, investigate the properties of acids and bases, and study introductory organic and environmental chemistry. Practical skills and theoretical knowledge are developed in parallel, fostering an understanding of the scientific method and analytical thinking. As students advance to A-Level Chemistry, they deepen their knowledge with more sophisticated topics and a greater focus on problem-solving. Here, they explore physical chemistry, learning about reaction rates, thermodynamics, equilibrium, and redox reactions in-depth. Organic chemistry expands to cover mechanisms, functional groups, and synthetic pathways, while inorganic chemistry includes the study of complex compounds and transition metals. A-Level students also engage in advanced practical work, developing precision in laboratory techniques and research skills crucial for scientific inquiry. Together, GCSE and A-Level Chemistry provide a solid framework for students, paving the way for further study in fields like medicine, engineering, pharmacology, and biochemistry. By exploring both fundamental and complex chemical principles, students cultivate a critical understanding of the natural world and gain skills that will benefit them in a wide range of scientific and technical disciplines.
Chemistry
Neel - Manchester18€
18€Introduction to Python Programming and Machine Learning Basics
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
Yedija Messa Sirao - Manchester25€
25€Learning and Mastering Artificial Intelligence and Data Science: From Fundamentals to Advanced Applications for Real-World Success
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
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