Python in 3 Hours! [+ Machine Learning & Deep Learning]

🧠 Switch to Python, Learn Machine Learning Fundamentals, and Develop Deep Learning Models Using TensorFlow All in 3 Hours!

1.1. Course Instructor [Learn More]

My name is Mohammad H. Rafiei, Ph.D., and I am a researcher and instructor at prestigious institutions such as Johns Hopkins University, College of Engineering, and Georgia State University, Department of Computer Science. As the founder of MHR Group LLC, I lead a team tackling complex challenges in computer science, engineering, and medicine using advanced machine learning and optimization techniques. I am thrilled to share my expertise with you on Udemy as your guide through Python and its powerful applications in machine learning and deep learning.

1.2. Does this course suit you? [Sign Up]

If you're looking to master Python for data science, you've come to the right place! This comprehensive course is designed for individuals who:

• Are new to Python and want to kickstart their programming journey.
• Have prior experience with a computational language like MATLAB, R, or C++ and want to transition to Python.
• Seek to understand and apply machine learning techniques without installing complex software.
• Want to leverage the power of Google Colab for real-time data analysis and model training on the cloud.
• Are eager to explore neural networks and deep learning using TensorFlow Keras without the hassle of setting up environments.

1.4. Course Overview 📚

This course is a concise, yet comprehensive, journey through Python programming with a focus on data science applications. Spanning just 180 minutes across 12 engaging lectures, here's what you can expect:

• Lecture 01: An Introduction to the Course (18 minutes)
• Lecture 02: Getting Started with Gmail, Chrome, and Google Colab (11 minutes)
• Lecture 03: Mastering Operations, Built-in Functions, and Data Types (20 minutes)
• Lecture 04: Loops, Conditional Scripts, and Functions (16 minutes)
• Lecture 05: Data Processing with Numpy and Pandas (28 minutes)
• Lecture 06: Data Visualizations with Matplotlib and Seaborn (10 minutes)
• Lecture 07: Working with Data Repositories and Data Split in Machine Learning (15 minutes)
• Lecture 08: Data Processing and Calibrations for Machine Learning Models (13 minutes)
• Lecture 09: A Brief Introduction to Neural Networks (11 minutes)
• Lecture 10: Building Regression Neural Networks with TensorFlow Keras (16 minutes)
• Lecture 11: Crafting Classification Neural Networks with TensorFlow Keras (13 minutes)
• Lecture 12: Hit the Road on Your Own! (9 minutes)

1.5. Your Contribution 🤝

Your feedback is crucial for improvement! After taking this course, I invite you to leave a review to help us make it even better. If you find it valuable, please share it with your peers and colleagues. Together, we can empower more learners to harness the power of Python in data science and machine learning.

1.6. Acknowledgment 🙏

I extend my deepest gratitude to my wife, Fatemeh, for her unwavering support throughout the creation of this course. Special thanks to my friend and brother, Ahmad Mohammadshirazi, for his invaluable assistance in video editing. Your expertise and dedication have significantly contributed to the quality of this learning experience.