Machine Learning notebooks for refreshing concepts.
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Updated
Aug 24, 2021 - Jupyter Notebook
Machine Learning notebooks for refreshing concepts.
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
ML code in of Jupiter notebook
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
A series of notebooks to familiarize with some important data processing and analysis pipelines based on PyTorch
Collection of directories containing notebooks and scripts for data science
A series of documented Jupyter notebooks implementing SVM and SVC's.
Notebooks for Kaggle competition
This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch
This is my first project of designing a Machine Learning Algorithm to predict fare of the largest taxi company "Uber" using Jupyter notebook
Data Science notebooks
Machine Learning notebooks using Tensorflow
A repository dedicated to learning about Artificial Intelligence, Machine Learning, and Deep Learning using Python/IPython Notebook.
A basic algorithm to create simple linear regression model. Created using python notebook. Explanations are in Bahasa Indonesia.
Machine Learning Regression use case notebooks
Various Machine learning and Deep learning algorithms written in Jupyter notebooks in one repository
Linear regression notebooks
Logistic regression notebooks
Notebooks for Global AI Hub ML course in Aug 2022
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