Dive into the world of Machine Learning with this hands-on tutoring series designed to equip you with the foundational skills and techniques to build models using Python. Whether you're a beginner or have some coding experience, this series will guide you through key concepts such as supervised and unsupervised learning, data preprocessing, model evaluation, and more. With Python as our tool of choice, you'll learn to implement algorithms like linear regression and neural networks. By the end, you’ll be able to confidently apply Machine Learning techniques to real-world problems and projects. In this series, we'll be covering the following: TensorFlow, Python, linear regression, variables, data analysis, data preprocessing, model evaluation, neural networks. Before the start of the series, I reccomend taking a look at GoogleColab and Tensorflow below are the links: [https://colab.research.google.com/ ](https://www.tensorflow.org/) [https://www.tensorflow.org/](https://www.tensorflow.org/). For your success in this class, I highly recommend having some experience with Python! While we'll cover essential Python libraries and functions for machine learning, having a basic understanding of Python syntax, data structures, and object-oriented programming will help you follow along more smoothly and get the most out of this series. Don't worry if you're new—I'll provide plenty of guidance along the way! Currently, there are only two sessions listed. More will be added soon.

This course is beginner friendly Week 1: Intro to Neural Networks Week 2: Training Neural Networks Week 3: Intro to GANs Week 4: Creating with GANs Week 5: Intro to CNNs Week 6: CNN Applications Week 7: Intro to RNNs & Transformers Week 8: Applications of RNNs & Transformers Week 9: Final Project

In this course, you will learn the basics of AI and ML such as how it works and the theory behind it. You will also make, train, and test some models. I plan to teach this course till around April - May 2025. I plan to add more sessions once I get more responses and to the Google form so I know what to teach: [https://docs.google.com/forms/d/19QiwogqM-ripe3A1AQdO6sZgQbd-HvXgp9UtB0T1TiA/edit?edit_requested=true ](https://docs.google.com/forms/d/19QiwogqM-ripe3A1AQdO6sZgQbd-HvXgp9UtB0T1TiA/edit?edit_requested=true)

In this series, you'll learn how to use AI to create impactful projects. I'll cover various methods and guide you through the process, offering skills that can enhance your college resume or contribute to making the world a better place. This is a course fit for beginners, so don't feel intimidated! As there are no prerequisites

(course)attended learners in artificial intelligence are typically secondary school students aged 12-17, eager to explore the concepts of AI, likely machine learning and AI generations, with a focus on practical applications. (course for fundamental learners which age around 12 - 17)