AI and Machine Learning with Python

This workshop is designed to introduce students to the fundamentals of Machine Learning and Artificial Intelligence (AI) using the popular programming language Python. The workshop will cover key concepts, techniques, and tools for developing Machine Learning applications and models.

During the workshop, students will learn about the basic concepts of Machine Learning, such as data preprocessing, feature extraction, and model training. They will also explore various Machine Learning algorithms, such as regression, classification, and clustering. Additionally, students will get hands-on experience in building Machine Learning models using Python libraries such as scikit-learn and TensorFlow.

The workshop is divided into 14 sessions, each of which is 2 hours long. The sessions will be a mix of lectures, discussions, and hands-on exercises. By the end of the workshop, students will have a basic understanding of how Machine Learning algorithms work, and they will be able to develop simple Machine Learning models on their own.

Eligibility:

This workshop is open to super seniors in grades 9-12 who have a basic understanding of Python programming.

Requirements:

Participants should have a basic understanding of Python programming, including basic syntax, data types, and control structures. They should also have a laptop with Python installed.

Topics To Be Covered:

• Introduction to Machine Learning
• Types of Machine Learning
• Data Preprocessing
• Feature Extraction
• Supervised Learning
• Unsupervised Learning
• Regression
• Classification
• Clustering
• Model Evaluation
• Introduction to Deep Learning
• Convolutional Neural Networks
• TensorFlow