Machine Learning Bootcamp: Python, Projects & Deployment
>_ What You'll Learn
- Build machine learning models using Python, covering classification, regression, and unsupervised learning.
- Understand the math behind machine learning, including linear algebra, statistics, probability, and calculus with clear intuition.
- Perform data collection, EDA, preprocessing, feature engineering, and model evaluation using real-world datasets.
- Apply cross-validation, hyperparameter tuning, and model selection to build reliable and optimized ML models.
- Convert ML notebooks into production-ready Python scripts and serve models using FastAPI and Streamlit.
- Deploy complete, end-to-end machine learning applications on AWS EC2 with real-world workflows.
>_ Requirements
- No prior Machine Learning experience is required. You will learn everything from scratch.
- No advanced math background is needed. All required math concepts are explained with intuition and examples.
- Basic computer skills and willingness to learn and practice are sufficient.
- A laptop or desktop with internet access (Windows, macOS, or Linux).
- No paid software required. All tools used are free and open-source.
- Some sections involve AWS deployment. An AWS account is helpful but optional.
/ Course Details & Curriculum
- Strong Python programming skills for Machine Learning
- Clear intuition for math behind ML including linear algebra, statistics, calculus, and probability
- Hands-on experience with data collection, EDA, and preprocessing
- Build and evaluate classification, regression, and unsupervised models
- Proper model validation, cross-validation, and optimization techniques
- Multiple real-world Machine Learning projects
- Convert notebooks into clean, production-style Python scripts
- Build ML APIs using FastAPI and UIs using Streamlit
- Deploy complete ML applications on AWS EC2
- Work on production-grade capstone projects you can showcase in your portfolio
- Beginners starting Machine Learning from scratch
- Students preparing for ML or data science roles
- Professionals transitioning into Machine Learning
- Developers who want to build and deploy real ML applications
- No prior Machine Learning, Python or math background is required. Everything is explained step by step with intuition and hands-on examples.
Author and Instructor
Siddhardhan S
Expert at Udemy
With years of hands-on experience in IT & Software, Siddhardhan S has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
Michael Chen
Verified Enrollment
"This Machine Learning Bootcamp: Python, Projects & Deployment course was exactly what I needed. The instructor explains complex IT & Software concepts clearly. Highly recommended!"
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on Python programming & back-end development, but this one stands out. The practical examples helped me land a job."
David Smith
Verified Enrollment
"Great value for money. The section on Machine Learning was particularly helpful."
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in IT & Software thanks to this course. Lifetime access is a huge plus."
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