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Python-AI-Practise

This repository contains various projects and exercises aimed at learning and applying artificial intelligence and machine learning techniques using Python. The projects cover a wide range of topics, from basic AI concepts to more advanced techniques.

Projects

  • Machine Learning Algorithms: Applied various machine learning algorithms to model, evaluate, and optimize processes on different datasets.
  • Data Analysis and Visualization: Completed data analysis and visualization projects using popular Python libraries.
  • Model Improvement: Applied hyperparameter tuning and optimization techniques to enhance model accuracy.

Technologies Used

  • Python
  • Scikit-Learn
  • NumPy, Pandas, Matplotlib
  • TensorFlow / Keras (for relevant projects)
  • Jupyter Notebook

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Machine Learning and Data Analysis Techniques

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