regmi-saugat/66Days_MachineLearning

I am sharing my journey of 66DaysOfData in Machine Learning

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Emerging

This project offers a practical guide to core machine learning concepts and algorithms, explained with clear examples. It demonstrates how to apply techniques like Logistic Regression for classifying binary outcomes or Random Forests for making predictions using decision trees. It is ideal for anyone starting their journey in machine learning, aiming to understand how these algorithms work and how to implement them for various data analysis tasks.

No commits in the last 6 months.

Use this if you are a student, analyst, or data enthusiast looking for an accessible, step-by-step introduction to fundamental machine learning algorithms and their applications.

Not ideal if you are an experienced machine learning engineer or data scientist seeking advanced research topics, cutting-edge model architectures, or highly optimized production-ready code.

data-science-education machine-learning-fundamentals predictive-modeling classification-algorithms data-analysis-training
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

57

Forks

12

Language

License

MIT

Last pushed

Oct 31, 2022

Commits (30d)

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