β€οΈWhy Grab This Book? - Hands-On Learning: Transform raw data into insights using Python. Perfect for coders who want to dive into stats without drowning in formulas! - Real-World Case Studies: Analyze datasets from the National Institutes of Health and more. Learn by doing, not just theorizing! - Jupyter Notebooks Included: Every chapter comes with interactive notebooksβrun code, tweak examples, and solve exercises seamlessly. Ideal for Colab or local setups! - Cutting-Edge Topics: Explore regression, time series analysis, survival analysis, and Bayesian methods. Level up your data science toolkit! - Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today!
π‘Perfect For: - Python devs eager to add stats/data skills. - Data enthusiasts craving practical, code-driven analysis. - Educators seeking a modern, interactive stats resource.
βοΈ The classes are live, but the videos of the classes are recorded and you can access them in your user panel. They last 10 to 12 weeks and are completely free!
β If you want to learn Python from scratch and enter the world of Generative Artificial Intelligence (GenAI), this course is for you! You don't need a programming background, just a desire to learn!
π₯΅What will you learn in this course?
β Python concepts: conditionals, loops, data structures β Working with APIs, File Management, and Regex β Object-oriented programming and modular coding β And a whole host of other skills that will pave your way into the world of artificial intelligence and data science.
π I should also mention that this community grew 5 times last year and is now one of the largest AI communities in the world. In the last hackathon they held, 5,000 people from all over the world participated and a prize of $25,000 was distributed among them.
Applied Machine Learning in Python: a Hands-on Guide with Code π§
π Exciting news! free, online e-book has been updated with fresh theory π, detailed illustrations π¨, well-documented demos π, links to YouTube lectures π₯, and interactive dashboards π!
Each chapter is downloadable π₯, making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! π§βπ»
A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems. New!
Matplotlib is a powerful Python library for data visualization, essential not only for acing job interviews but also for building a solid foundation in analytical thinking and data storytelling.
This step-by-step tutorial guide walks learners through everything from the basics to advanced techniques in Matplotlib. It also includes a curated collection of the most frequently asked Matplotlib-related interview questions, making it an ideal resource for both beginners and experienced professionals.
