Machine Learning Bootcamp: Build ML models using GenAI

Machine Learning for non-coders | Understand Machine Learning concepts & use GenAI to write code for building ML models

Description

If you’re an aspiring data scientist, analyst, or AI enthusiast looking to break into one of the most in-demand fields of the decade, imagine having a hands-on guide that teaches you not only the theory—but also how to code, implement, and fine-tune models—without getting lost in complexity. What if you could accelerate your learning curve by having an AI partner (ChatGPT) that helps you write cleaner code, debug faster, and understand concepts more intuitively?

In this immersive, practical bootcamp, you’ll gain the technical skills, problem-solving mindset, and project experience needed to work confidently with real-world machine learning applications. Whether you’re building predictive models, classifying data, or tuning advanced algorithms, this course equips you to move from “learning about ML” to “building with ML” in record time.

In this hands-on course, you will:

• Master the full ML workflow – from data import, exploration, and preprocessing to model building, evaluation, and optimization.

• Understand the math and logic behind key algorithms like Linear & Logistic Regression, Decision Trees, Random Forests, KNN, SVM, Boosting methods, and more.

• Learn with ChatGPT-assisted coding – using AI to generate, optimize, and debug Python code for faster, more accurate implementation.

• Work with Python’s top ML libraries like NumPy, Pandas, Seaborn, Scikit-learn, and XGBoost.

• Build both regression and classification models and understand when to apply each.

• Gain experience in advanced topics like model tuning with Grid Search, feature engineering, ensemble methods, and kernel-based SVMs.

Throughout the course, you’ll:

• Use ChatGPT to write and refine Python code for ML tasks.

• Explore side-by-side the theory of an algorithm and its real Python implementation.

• Work with real-world datasets, handling missing values, outliers, and categorical variables.

• Compare and evaluate models to select the best approach for a given problem.

• Build a portfolio-ready set of projects that showcase both coding ability and ML understanding.

Machine Learning is more than just knowing algorithms—it’s about applying them effectively to real data. By the end of this bootcamp, you’ll be able to confidently approach ML problems, build and optimize models, and leverage AI tools like ChatGPT to boost your productivity and accuracy.

Whether you’re preparing for a career in data science, adding ML to your skill set as a developer, or simply exploring the potential of AI-powered problem solving, you’ll walk away with the skills, confidence, and workflow to succeed.

Enroll today to build the future—one model at a time—powered by Python, guided by AI, and driven by data.

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