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This is all my notebooks, lab solutions, and assignments for the IBM Machine Learning Professional Certificate on Coursera.

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FahdSeddik/IBM-Machine-Learning-Professional-Certificate

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This repo consists of my lab solutions, projects, and notebooks for IBM Machine Learning Professional Certificate on Coursera.

About the certificate

The IBM Machine Learning Professional Certificate consists of 6 courses that provide solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. The Professional Certificate has a strong emphasis on developing the skills that help advance a career in Machine Learning. All the courses include a series of hands-on labs and final projects.

Throughout this Professional Certificate, I gained exposure to a series of tools, libraries, cloud services, datasets, algorithms, assignments and projects that provide practical skills with applicability to Machine Learning jobs. These skills include:

  • Tools: Jupyter Notebooks and Watson Studio
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, ipython-sql, Scikit-learn, ScipPy, Keras, and TensorFlow.

Courses:

  1. Exploratory Data Analysis for Machine Learning
  2. Supervised Machine Learning: Regression
  3. Supervised Machine Learning: Classification
  4. Unsupervised Machine Learning
  5. Deep Learning and Reinforcement Learning
  6. Machine Learning Capstone

Disclaimer

The files uploaded here are only for reference.

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This is all my notebooks, lab solutions, and assignments for the IBM Machine Learning Professional Certificate on Coursera.

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