Introduction to Machine Learning
- 02:44 Hours
- 12 Lectures
- 1 Student Enrolled
Learn the basics of machine learning, algorithms, and how to build predictive models using Python.
Course Overview
This course covers the fundamentals of Machine Learning.
You will explore supervised and unsupervised learning, regression, classification, and clustering. We will use popular Python libraries like Scikit-Learn to build real-world models.
By the end of this course, you will be able to train your own models and evaluate their performance.
Requirements Needed
- Basic Python knowledge
- Understanding of high school math
- Internet connection
Certification
Certificate of Completion: Introduction to Machine Learning
What You Will Learn
- Blade Syntax Basics
- Layouts and Components
- Control Structures (@if, @foreach)
- Including Sub-views and Passing Data
- What is React and the Virtual DOM?
- Setting up Vite for React
- Understanding JSX Syntax
- Your First React Component
- Functional vs Class Components
- Passing Props to Components
- Destructuring Props
- Composing Multiple Components
Course Curriculum
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Blade Syntax Basics Preview 00:11:30
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Layouts and Components 00:16:45
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Control Structures (@if, @foreach) 00:14:20
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Including Sub-views and Passing Data 00:13:50
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What is React and the Virtual DOM? Preview 00:10:00
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Setting up Vite for React 00:12:15
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Understanding JSX Syntax 00:15:40
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Your First React Component 00:14:10
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Functional vs Class Components Preview 00:11:20
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Passing Props to Components 00:16:30
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Destructuring Props 00:09:45
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Composing Multiple Components 00:18:00
Course FAQ's
You need a comfortable understanding of high school level algebra and basic statistics (mean, variance, probability).
No, we use cloud-based environments like Google Colab which provide free GPU access for training models.
We start with Scikit-Learn for traditional ML, and introduce TensorFlow for the deep learning sections.
We touch briefly on text classification basics, but advanced NLP is reserved for our specialized Deep Learning course.
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Learn the basics of machine learning, algorithms, and how to build predictive models using Python.
- 0.0 Rating
- 02:44
- 1 Student Enrolled
- 12 Lectures
