Accelgora Academy
Machine Learning
Course Description
Machine Learning focuses on developing algorithms and systems that enable computers to learn from data and make predictions or decisions. This course introduces the core concepts, tools, and techniques in machine learning, preparing you to build intellige
What You'll Learn
- - Understand foundational concepts of machine learning, including supervised, unsupervised, and reinforcement learning.
- - Explore popular algorithms such as linear regression, decision trees, neural networks, and support vector machines.
- - Learn how to preprocess, clean, and visualize data for machine learning tasks.
- - Gain proficiency in using frameworks like TensorFlow, PyTorch, or Scikit-learn for implementing models.
- - Master techniques to evaluate, validate, and optimize machine learning models.
- - Work on real-world applications such as image classification, natural language processing, and predictive analytics.
- - Understand ethical considerations and best practices in machine learning development.
