IntermediateAI LearningFREE
🧠 Machine Learning Fundamentals
Understand ML concepts, math, and code. Build real ML models from scratch.
31 lessons 13 hours 2.7K students 4.7
What You'll Learn
Understand how machine learning algorithms work mathematically
Implement linear regression, classification, and clustering from scratch
Build neural networks with PyTorch and TensorFlow
Clean and engineer features from messy real-world data
Evaluate models properly using the right metrics
Avoid overfitting with regularization and cross-validation
Deploy ML models as REST APIs
Build a portfolio of 3 complete ML projects
About This Course
Machine learning powers the world's most impactful technologies — recommendation engines, fraud detection, medical diagnostics, and self-driving cars. This course teaches you how it actually works.
Starting from zero assumptions, you'll build genuine intuition for every major ML algorithm, implement them in Python, and complete real projects you can show employers or use in your own products.
Course Curriculum
8 chapters · 31 lessons · 13 hoursChapter 1: ML Foundations
5 lessonsChapter 2: Data Preparation
4 lessonsChapter 3: Core Algorithms
6 lessonsChapter 4: Unsupervised Learning
3 lessonsChapter 5: Neural Networks & Deep Learning
4 lessonsChapter 6: Model Evaluation
4 lessonsChapter 7: Real Projects
3 lessonsChapter 8: Career & Next Steps
2 lessons10K+ Members Growing Daily
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