Join us for an interactive Machine Learning for Beginners workshop, where you'll learn the core concepts of supervised learning with a focus on Classification and Regression algorithms. This hands-on session will provide you with practical knowledge to apply ML techniques for real-world problems.

Here’s what you can expect:

🔹 Introduction to Machine Learning: Understand the difference between supervised and unsupervised learning, and where classification and regression fit in.

🔹 Classification Algorithms: Learn how models like Logistic Regression, Decision Trees, and Random Forests help categorize data into discrete classes, with examples like spam detection and image recognition.

🔹 Regression Algorithms: Explore techniques like Linear Regression, Polynomial Regression, and Ridge/Lasso Regression to predict continuous outcomes such as stock prices and sales forecasting.

🔹 Hands-on Coding: Work with real-world datasets using Python, Scikit-learn, and Pandas, implementing ML models step by step.

🔹 Model Evaluation: Learn how to assess model performance using metrics like accuracy, precision-recall, RMSE, and R-squared to ensure effective predictions.

🔹 Practical Use Cases: Apply what you’ve learned to real-world scenarios, analyzing datasets and deriving insights through ML techniques.

This workshop is ideal for students, analysts, and professionals looking to get started with Machine Learning. Whether you’re a beginner or refining your skills, you’ll gain hands-on experience and leave with the confidence to build and evaluate ML models.

This workshop is free and open to the public. Register at https://sjsu.zoom.us/meeting/register/4CVvHdPRRie0rh1aDzz5yw