Pinned Repositories
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
kaggle-learning
Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
Learning-PySpark
Code repository for Learning PySpark by Packt
Machine-Learning-for-Cyber-Security
Curated list of tools and resources related to the use of machine learning for cyber security
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
shap
A game theoretic approach to explain the output of any machine learning model.
shparkley
Spark implementation of computing Shapley Values using monte-carlo approximation
tds_black_box_models_more_explainable
Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d
testing-and-monitoring-ml-deployments
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
Ymaali's Repositories
Ymaali/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Ymaali/imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
Ymaali/kaggle-learning
Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
Ymaali/Learning-PySpark
Code repository for Learning PySpark by Packt
Ymaali/Machine-Learning-for-Cyber-Security
Curated list of tools and resources related to the use of machine learning for cyber security
Ymaali/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Ymaali/shap
A game theoretic approach to explain the output of any machine learning model.
Ymaali/shparkley
Spark implementation of computing Shapley Values using monte-carlo approximation
Ymaali/tds_black_box_models_more_explainable
Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d
Ymaali/testing-and-monitoring-ml-deployments
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"