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GitHub repository showcasing Machine Learning code: KNN, KMeans, Random Forest, Decision Tree, Apriori, Conflict Serializable, Naive Bayes used for skin detection and UCI dataset evaluation to check accuracy. Extensively tested on reliable datasets like breast_cancer and iris, providing valuable insights for ML training and testing.

Python 94.00% C++ 6.00%
apriori-algorithm apriori-algorithm-python classification clustering conflict-serializability decision-tree k-means knn naive-bayes naive-bayes-classifier python random-forest skin-detection

machine_learning's Introduction



Coding

  • ๐Ÿ”ญ Iโ€™m currently working on Proof of Democracy

  • ๐ŸŒฑ Iโ€™m currently learning Artificial intelligence,
    Distributed Systems, and Android development

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at Mehzabin's Portfolio

  • ๐Ÿ’ฌ Ask me about C++, C, Python, Java, Next.js, Solidity, Ethers.js


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mehzabin-haque-4b97551a6 tanaaa.mehzabin.20 mehzabin_haque


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Skills & Expertise:

๐Ÿ“‹ Lanuages:

C C++ HTML5 Java JavaScript PHP Python TypeScript CSS3

๐Ÿ“š Frameworks & Platforms:

Angular Bootstrap Tailwind Flutter JWT NodeJS React Next.js

๐Ÿ’พ Database:

MongoDB MySQL SQLite

๐Ÿ–ฅ๏ธ ML/DL:

NumPy Pandas PyTorch scikit-learn Matplotlib

๐ŸŽ›๏ธ Operating System:

Android Linux Ubuntu Windows

๐Ÿ•“ Version Control:

Git GitHub

๐Ÿ’ป IDEs/Editors:

Android Studio IntelliJ IDEA

๐ŸŽจ Design:

Adobe XD Canva Figma

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