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  • šŸ‘‹ Hi, Iā€™m Habib Mrad
  • šŸ‘€ Iā€™m interested in ML/DL in Healthcare and especially in Cadiology
  • šŸŒ± Iā€™m currently learning ML and DL for CVDs
  • šŸ’žļø Iā€™m looking to collaborate on building new apps related to ML in CVDs
  • šŸ“« How to reach: me [email protected]

Habib Mrad's Projects

machine-learning-for-healthcare-analytics icon machine-learning-for-healthcare-analytics

Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.

machine-learning-for-telecommunications icon machine-learning-for-telecommunications

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

machine-learning-projects icon machine-learning-projects

Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.

machine-learning-roadmap icon machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

machine-learning-scientist-with-python-by-datacamp icon machine-learning-scientist-with-python-by-datacamp

Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning, learn how to process data for features, train your models, assess performance, and tune parameters for better performance. natural language processing, image processing, and popular libraries such as Spark and Keras.

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