AI: Python, Applied Machine Learning with Scikit-learn
AI: Python, Applied Machine Learning with Scikit-learn
Published 6/2025
Duration: 9h 14m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.90 GB
Genre: eLearning | Language: English
Published 6/2025
Duration: 9h 14m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.90 GB
Genre: eLearning | Language: English
Your Hands-On Guide to Building Intelligent Systems & Real-World AI Solutions
What you'll learn
- Master the core Python concepts required for Data Science and Artificial Intelligence.
- Implement key machine learning algorithms on real-world data for practical insights.
- Build, train, and evaluate custom deep neural networks from scratch using PyTorch.
- Develop an end-to-end AI application by integrating Python, ML, and PyTorch skills.
Requirements
- A computer with a stable internet connection. All lectures and materials are delivered online, and you will need to download software and datasets.
- Basic computer skills. You should be comfortable with tasks like downloading and installing software, creating folders, and navigating your operating system (Windows, macOS, or Linux).
- High school level mathematics. A basic understanding of algebra and concepts like variables and functions will be very helpful, but we will review key mathematical concepts as needed.
- No prior programming experience is required! The course is designed to take you from the fundamentals of Python all the way to advanced AI topics. A strong desire to learn is the most important prerequisite.
Description
This course is meticulously designed forstudents and working professionalswho are passionate about applied machine learning with Scikit-learn. Leveraging my10+ years of industry experience, I've customized this program to provide a truly practical and comprehensive learning journey.
This course meticulously covers:
Python fundamentals:Build a strong foundation with essential data structures like lists, tuples, sets, and dictionaries, alongside classes and functions. You'll gain practical coding experience through dedicated exercises.
Applied machine learning with Python:Dive deep into real-world scenarios, exploring multiple classification and regression models to solve diverse problems. You'll learn the art of data preprocessing, model selection, and performance evaluation.
This course is overall structured with muliple projects and recap sessions which helps you to get how ML is being used.
By the end of this course, you'll be profoundly comfortable with Machine Learning and Deep Learning concepts, equipped with the confidence and practical skills tostart applying for jobsin the rapidly expanding AI field. You'll not only understand the theory but also how to implement and optimize models, making you a valuable asset in any data-driven team. This journey will transform your understanding of AI into tangible, employable skills.
Thank you and all the best !
Who this course is for:
- Aspiring Data Scientists & AI Specialists: If you're looking to start a career in the exciting field of AI but don't know where to begin, this course provides the complete roadmap.
- Absolute Beginners in Programming: We start with the absolute basics of Python. No prior coding experience is necessary to follow along and succeed.
- Programmers & Developers: If you already know another programming language, this course will get you up to speed with Python and show you how to apply your skills to the domains of Machine Learning and Deep Learning.
- Students & Academics: This course will help you bridge the gap between theoretical knowledge and practical, hands-on application by working on real-world projects.
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