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This repository contains an implementation of the Decision Tree algorithm from scratch using various impurity methods such as Gini index, entropy, misclassification error, etc.

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decision-tree-classifier decision-trees entropy gini-impurity misclassification-error-rate

decision-trees-implementation-from-scratch's Introduction

Hi ๐Ÿ‘‹, I'm Aakash Tripathi

I am an MTech CSE Student at IIIT Hyderabad(2022-2024) keen on learning Efficient Computer Science Algorithms, building efficient and scalable systems and Data Exploration by leveraging ML/DL algorithms. I am passionate about different domains in Computer Science and exploring them.

akash18tripathi

  • ๐Ÿ”ญ Iโ€™m currently working with Media.Net as an SDE Intern.

  • ๐ŸŒฑ Iโ€™m currently learning High Level Design and Low Level Design and Implementing Machine Learning Algorithms from Scratch for deeper understanding

  • ๐Ÿ‘ฏ Iโ€™m Constantly Improving on Advance Data Structures and Algorithms

  • ๐Ÿ’ฌ Ask me about Core Computer Science Concepts based on DBMS,Networking,etc..

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact I think I am Noob at everything! :)

Connect with me:

aakash-tripathi-389658172 akash18tripath akash18tripathi @aakash592 akash18tripathi

Languages and Tools:

android bash bootstrap cplusplus css3 docker firebase flask git heroku hive html5 java javascript jenkins kafka linux mongodb mysql nginx opencv pandas postman python pytorch scikit_learn seaborn sqlite tensorflow

My Leetcode stats:

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