Machine Learning
Master machine learning algorithms, neural networks, and AI applications to build intelligent systems.
Duration
12 weeks
Level
Intermediate to Advanced
Course Overview
Our comprehensive Machine Learning course is designed to take you from intermediate to advanced level. You'll learn to build intelligent systems that can learn and adapt, making you a valuable asset in the AI industry.
What You'll Learn
- Supervised and unsupervised learning algorithms
- Deep learning and neural networks
- Natural Language Processing (NLP)
- Computer vision and image recognition
- Model deployment and production systems
- TensorFlow, PyTorch, and Keras frameworks
Course Curriculum
Module 1: Foundations of Machine Learning
Introduction to ML concepts, data preprocessing, and feature engineering
Module 2: Supervised Learning
Linear regression, classification algorithms, and ensemble methods
Module 3: Unsupervised Learning
Clustering, dimensionality reduction, and anomaly detection
Module 4: Deep Learning
Neural networks, CNNs, RNNs, and transformers
Module 5: Advanced Applications
NLP, computer vision, and real-world ML projects
Prerequisites
Basic knowledge of Python programming and statistics. Familiarity with data structures and algorithms is recommended.