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Hi there 👋

  • 🔭 I’m currently working on ... SQL and Advanced Excel
  • 🌱 I’m currently learning ... SQL
  • 👯 I’m looking to collaborate on ... Data Analytics Projects
  • 💬 Ask me about ... Machine Learning, Python, Numpy, Scikit-learn, Pandas
  • 😄 Pronouns: ... She/her
  • ⚡ Fun fact: ... There are more stars in the universe than grains of sand on all the beaches on Earth.

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Open Source work-

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khushi balyan's Projects

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

coursify-hacktoberfest icon coursify-hacktoberfest

A curated list of best free learning resources on the planet, made specifically for first time hackers!

diabetesml icon diabetesml

Context This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage. Content The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

ds-algo-solutions icon ds-algo-solutions

A collection of solutions for Hackerrank data structures and algorithm problems in Python

edualgo icon edualgo

A simple python package having modules of different algorithms to use in educational purposes.

hacktoberfest2020-contributions icon hacktoberfest2020-contributions

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

sde-interview-questions icon sde-interview-questions

Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

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