English | Size: 380 MB
Genre: eLearning
Mastering Machine Learning Basics in 60 Minutes: From Data Prep to Model Deployment in TensorFlow
What you’ll learn
Build a machine learning model
Understand data preprocessing
Understand the architecture of a model
Understand the process behind training a model
In this intensive one-hour course, you’ll dive headfirst into the world of machine learning using TensorFlow and Google Colab. No pit stops—just pure acceleration!
What You’ll Cover:
- TensorFlow Basics: Understand the core concepts, from defining layers to training models.
- Google Colab Mastery: Leverage Colab’s cloud-based environment for seamless development.
- Data Prep Express: Quickly preprocess your data without detours.
- Model Construction: Design and build neural networks like a seasoned pro.
- Training and Evaluation: Witness your model learn, iterate, and fine-tune for optimal performance.
Why Take This Course?
- Speedy Results: Get up to speed in just one hour.
- Practical Skills: Apply what you learn to real-world problems.
- No Pit Stops: We’re all about efficiency here!
Prerequisites:
- Basic Python knowledge (if you can write a for loop, you’re set!)
- Curiosity and a dash of determination
Ready to accelerate your ML journey? Buckle up!
Whether you’re a data enthusiast, a developer, or a curious learner, this course is your express ticket to mastering machine learning essentials. Let’s hit the road!
Your course instructor is me Adam Cole, a professional software engineer with 5 years working on enterprise level applications. Feel free to send me any questions on LinkedIn at Adam Cole Adam Cole BSc MBCS.
Who this course is for:
- Anyone that wants to build an ML model for the first time.
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