Machine Learning Navigator
Dive deep into machine learning algorithms, neural networks, and practical AI applications. Build real-world ML models and understand the mathematics behind AI.
This course includes:
- 70+ hours video content
- Advanced AI projects
- Complete source code
- Certificate of completion
- Lifetime access
What you'll learn
- Machine learning fundamentals
- Supervised and unsupervised learning
- Neural networks and deep learning
- Feature engineering and selection
- Model evaluation and validation
- TensorFlow and Keras frameworks
- Computer vision and NLP
- Reinforcement learning basics
- MLOps and model deployment
- Ethics in AI and ML
Prerequisites
- Strong Python programming skills
- Basic statistics and linear algebra
- Familiarity with NumPy and Pandas
- Basic calculus knowledge helpful
Your Instructor
Deventhiran
Full Stack Developer
Deventhiran has 5+ years in AI research, with experience at leading AI companies including OpenAI and DeepMind.
4.9 Instructor Rating
8 Courses
12,000+ Students
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