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coursera-machine-learning

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A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

  • Updated May 22, 2024

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

  • Updated Apr 13, 2024
  • Jupyter Notebook
NLP-Natural-Language-Processing

This repository offers my learnings, reference solutions for developing intuition and troubleshooting assignments. Reflecting my experience in a program by deeplearning.ai.

  • Updated Dec 18, 2023
  • Jupyter Notebook

Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization

  • Updated Dec 5, 2023
  • Jupyter Notebook

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