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Bare-bone and simple implementations of few Machine Learning Algorithms

License: MIT License

Python 2.56% Jupyter Notebook 97.44%
dbscan decision-trees gradient-boosting gradient-descent kmeans knn linear-regression logistic-regression machine-learning machine-learning-from-scratch naive-bayes pca python random-forest svm tsne

ml_algo_implemented's Introduction

Hi, Nachiket here 👋

Software Engineer with 10+ years of enterprise backup and recovery product experience.
I'm currently working with a startup on NLP tasks.

nachiket273

  • 🔭 I’m currently working with a startup on NLP tasks.
  • 🌱 I’m currently learning NLP, Quantum Computing.
  • 👯 I’m looking to collaborate on Machine Learning projects, even open to long term collaborations.
  • 💬 Ask me about NLP, traditional ML algorithms, REST api, Security.
  • 📫 How to reach me: LinkedIn, Twitter

nachiket273

nachiket273

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