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Garima Singh garimasingh128 @hackslash-nitp @anitab-org @dscnitp भारत garimasingh.netlify.app Junior @nitp🌍 ❯ Intern @dataly ❯ Innovations Lead @dscnitp ❯ Projects Head @hackslash-nitp ❯ OSH Mentor @anitab-org ❯ ASI @alexa-dev-hub ❯ Open-Source Mentor🤝

garimasingh128/awesome-python-projects 36

📱 ✅ Some awesome projects in python! 📱 ✅

garimasingh128/CP-DSA-Cpp-C 14

🕺 Give me data and I will structure it! 🔥

garimasingh128/Alexa-skills-starters 7

💻 A collection of super cool Amazon Alexa skills for complete newbies. 💻

Campus-Advisors/campus-advisor-training-garimasingh128 1

campus-advisor-training-garimasingh128 created by GitHub Classroom

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A collection of awesome readme templates to display on your github profile.

garimasingh128/Data-Analytics-with-Python-NPTEL-MOOCS 1

CODES WRITTEN FOR NPTEL COURSE OF DATA ANALYSIS WITH PYTHON.

garimasingh128/developerFolio 1

Software Developer Portfolio Template that help you showcase your work and skills as a software developer ⚡️

ChandelAnushka/IOTalk 0

Chat app , mainly for developers where they can share their codes.

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Source code and design of app for Pitney Bowes Hackathon (Hackerearth)

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Neeraj Patil

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model added

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Neeraj Patil

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Garima Singh

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Merge pull request #77 from Neeraj2212/master Flight Fare Prediction Model

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Flight Fare Prediction Model

Description

This is a machine learning model based on linear regression using sciket-learn to predict estimated fare for flight journeys in india

Type of change

Please delete options that are not relevant.

  • [x] New feature (non-breaking change which adds functionality)

How Has This Been Tested?

Model was tested using data visualization libraries (Seaborn , MatplotLib) and errors are calculated using sciket-learn metrics

  • [x] Test output visualization
  • [x] Test Error Calculation

Test Configuration:

  • Firmware version:
  • Hardware:
  • Toolchain:
  • SDK:

Checklist:

  • [x] My code follows the style guidelines of this project
  • [x] I have performed a self-review of my own code
  • [x] I have commented my code, particularly in hard-to-understand areas
  • [x] I have made corresponding changes to the documentation
  • [x] My changes generate no new warnings
  • [x] I have added tests that prove my fix is effective or that my feature works
  • [x] New and existing unit tests pass locally with my changes
  • [x] Any dependent changes have been merged and published in downstream modules
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Neeraj Patil

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Iris Flower detection

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Neeraj Patil

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Readme Update

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Garima Singh

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Merge pull request #76 from Neeraj2212/master Iris Flower detection

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Iris Flower detection

Description

This pull request fixes #49 , It is a machine learning model created using sciket learn to solve problem of detecting different species of iris flower using iris flower dataset.

Fixes #49

Type of change

Please delete options that are not relevant.

  • [x] Bug fix (non-breaking change which fixes an issue)
  • [x] New feature (non-breaking change which adds functionality)

How Has This Been Tested?

Model was tested Using splitting the dataset into 70-30ratio for training and testing and result was calculated using confusion matrix and classification report screenshots are added in result folder of IRIS-FLOWER-DETECTION folder

  • [x] Test confusion-report
  • [x] Test classification report

Test Configuration:

  • Firmware version:
  • Hardware: Windows 10 Pc Core i5
  • Toolchain:
  • SDK:

Checklist:

  • [x] My code follows the style guidelines of this project
  • [x] I have performed a self-review of my own code
  • [x] I have commented my code, particularly in hard-to-understand areas
  • [x] I have made corresponding changes to the documentation
  • [x] My changes generate no new warnings
  • [x] I have added tests that prove my fix is effective or that my feature works
  • [x] New and existing unit tests pass locally with my changes
  • [x] Any dependent changes have been merged and published in downstream modules
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issue closedgarimasingh128/awesome-python-projects

Iris Flowers Classification Projectiris flower classification using machine learning

Iris Flowers Classification Projectiris flower classification using machine learning Project idea – The iris flowers have different species and you can distinguish them based on the length of petals and sepals. This is a basic project for machine learning beginners to predict the species of a new iris flower.

https://archive.ics.uci.edu/ml/datasets/Iris

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pull request commentgarimasingh128/awesome-python-projects

Loan Prediction using Machine Learning

Add resources to readme add screenshots to folder

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