Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
- Updated
Aug 9, 2023 - Jupyter Notebook
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
Scikit-learn (sklearn) projects in form of Jupyter Notebooks
Explore and understand the Machine Learning concepts through the prism of sklearn, one notebook at a time.
A jupyter notebook which trains a model with scikit-learn
Notebooks for Foundation of Machine Learning (PHYS 243) Fall 2021 course at UCR
A curated collection of Jupyter notebooks featuring essential machine learning codes, concepts, and workflows for quick learning, revision, and practical experimentation.
A trained ML model for prediction of house prices in IOWA using Random Forest Regression technique
A collection of Jupyter notebooks demonstrating core supervised learning concepts, including linear regression, decision trees, lasso/ridge models, conditional probability, and maximum likelihood. This repository serves as hands-on practice for building and understanding foundational ML algorithms using Python.
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