ARTIFICIAL INTELLIGENCE AND DATA SCIENCE (LEVEL 2)

  • Course Outline
  • 6 Months duration
  • 4 Sessions per month

 

? Data Science Fundamentals: Data collection, preprocessing, and feature engineering
? Machine Learning Techniques: Supervised and unsupervised learning models
? Deep Learning Basics: Understanding neural networks and AI model training
? Data Visualization: Exploring trends and patterns using Matplotlib and Seaborn
? Python for AI & Data Science: Using NumPy, Pandas, Scikit-Learn, and TensorFlow
? Real-World AI Applications: Building projects in image recognition, sentiment analysis, and

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