Introduction to Python for Data Analytics, Machine Learning and Generative AI скачать в хорошем качестве

Introduction to Python for Data Analytics, Machine Learning and Generative AI

Python for Data Analytics, Machine Learning, and Generative AI: A Comprehensive Guide course is carefully crafted to help learners build essential skills in programming, data analysis, and machine learning. Spanning 10 weeks, the course is perfect for students, working professionals and beginners eager to gain hands-on experience and explore the practical applications of these transformative technologies. In today’s data-driven world, businesses and industries are leveraging data analytics, machine learning, and generative AI to gain insights, automate processes, and drive innovation. This comprehensive course is designed to equip you with the use foundational and advanced skills required to analyze data, build predictive models, and explore the power of AI-driven content generation. Starting with Python, one of the most widely used programming languages in data science, you will learn how to manipulate data using essential libraries such as NumPy and Pandas. You’ll explore data visualization techniques using Matplotlib and Seaborn to uncover meaningful insights. The course also introduces key statistical concepts, including probability distributions and hypothesis testing, which form the backbone of data-driven decision-making. As you progress, you’ll dive into machine learning, covering both supervised and unsupervised learning techniques using Scikit-learn. You will train models for regression and classification, evaluate their performance, and optimize them through hyperparameter tuning and cross-validation. The course also introduces Generative AI, where you’ll explore cutting-edge models like GANs and Transformers. You will understand how AI generates human-like text, images, and other creative content, revolutionizing industries such as marketing, entertainment and automation. By the end of the course, you’ll apply your learning to a real-world capstone project, demonstrating your ability to solve business problems using data science and AI. Whether you're a beginner or a professional, this course will help you develop in-demand skills for a career in data science, AI, or business analytics