https://github.com/rishmi5h/ml_projects

https://github.com/rishmi5h/ml_projects

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/rishmi5h/ml_projects
• Owner: rishmi5h
• Created: 2020-12-14T18:52:55.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-09-02T00:00:19.000Z (5 months ago)
• Last Synced: 2024-11-16T08:11:54.160Z (2 months ago)
• Language: Python
• Size: 33.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ml_projects

In this repo I will post ml-projects which I had done. 

## 1. Best_classifier -  [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/rishimish/ml_projects/best_classifier.py)

In this project i created an web app with streamlit, in which 3 famous ml datasets are used and 3 classifiers i.e KNN, SVM and random forests are used and accuracy is calculated

library used - scikit-learn, matplotlib, numpy, streamlit 

## 2. Graduate Admission Prediction Using Multiple linear Regression - [REPO-LINK](https://github.com/rishimish/University-Admission-Prediction-Using-Multiple-Linear-Regression)

In this project I trained the regression models to find the probability of a student getting accepted into a particular university based on their profile. 

The data used in following manner: 


GRE Scores ( out of 340 ) 

                                   
TOEFL Scores ( out of 120 ) 

                                   
University Rating ( out of 5 ) 

                                  
Statement of Purpose and Letter of Recommendation Strength ( out of 5 ) 

                                   
Undergraduate GPA ( out of 10 ) 

                                   
Research Experience ( either 0 or 1 ) 

                                   
the chance of admit (as 0 or 1)
 

                               

library used - keras, scikit-learn, matplotlib, numpy, seaborn, pandas