MainakRepositor/ML-Algorithms

List of some top machine learning algorithms. Just give a dive and explore the world of ML

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This is a collection of fundamental machine learning algorithms implemented in Python notebooks. It takes various datasets as input and demonstrates how to apply these algorithms to solve problems like predicting continuous values, classifying data into categories, grouping similar data points, and making sequential decisions. This resource is for students, researchers, or data science practitioners who want to learn and understand the practical implementation of machine learning algorithms.

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Use this if you are learning machine learning and want to see practical, code-based examples of common algorithms across different categories.

Not ideal if you are looking for a high-level library to integrate into a production application, as these are primarily educational examples.

data science education machine learning implementation predictive modeling data analysis algorithmic learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 4 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Sep 23, 2021

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