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Algorithms for a beginner to learn and implement Machine Learning

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Machine-learning

Important Algorithms for a beginner to learn and implement Machine Learning:

Linear Regression Logistic Regression K-Nearest Neighbours K-Means Clustering Naive Bayes SVMs Decision Trees Random Forest Dimensionality Reduction Algorithms Gradient Boosting algorithms- XGBoost.

This Repository was a part of the following Open Source Program

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Hacktoberfest 2021

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Whether it’s your first or fiftieth pull request, there’s always more to learn! We’ve put together a few resources that can help you create quality pull requests, keep your repositories pristine, and build on your open source knowledge.


Contributing

This repository is contribution friendly. If you'd like to add or improve any algorithm, your contribution is welcome!
Don't forget to follow Contribution Guidelines 😃

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Thanks to all the contributors ❤️