JavaScript Fundamentals: From Zero to Hero
Branch : CSE
"AI & ML: Theory, Tools, and Techniques" is a comprehensive course designed to provide a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML). The course blends theoretical concepts, mathematical underpinnings, and hands-on experience with modern tools and frameworks. It equips learners to design, build, and deploy intelligent systems capable of learning from data and making data-driven decisions.
Students will explore the core principles of AI and ML, understand key algorithms, work with real-world datasets, and use industry-standard tools such as Python, Scikit-learn, TensorFlow, and Keras to implement intelligent solutions.
Understand the core principles and types of Artificial Intelligence and Machine Learning.
Analyze and prepare data for machine learning applications.
Apply supervised and unsupervised learning algorithms.
Understand model evaluation metrics and techniques to improve model performance.
Implement ML models using Python and libraries like Scikit-learn, TensorFlow, and Keras.
Explore key AI topics including Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.
Build end-to-end AI/ML projects from data ingestion to model deployment.
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Branch : CSE
Branch : HR
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