Learn AI, Machine Learning & Deep Learning from Scratch with Real Projects, NLP, and Industry-Focused Applications
What you will learn
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Understand the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML)
Learn how machines learn using Supervised, Unsupervised, and Reinforcement Learning methods
Grasp the role of statistics, data preprocessing, and feature selection in building accurate models
Build a solid foundation in machine learning algorithms, including regression, classification, and clustering
Explore advanced topics like Deep Learning, Natural Language Processing (NLP), and Computer Vision
Identify and address bias and ensure ethical AI implementation
Gain hands-on experience through real-world AI & ML projects across business and industry use cases
Understand how AI is applied in different sectors, from automation to decision-making systems
Develop familiarity with industry tools, libraries, and languages used in AI & ML
Prepare for real-world roles by understanding AI economics, business value, and practical implementation
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