https://github.com/baponkar/scikit-logisticregression-application

A simple and detail application analysis of sci kit learn LogisticRegression model .
https://github.com/baponkar/scikit-logisticregression-application

classification-algorithm logistic-regression machine-learning python3 scikit-learn

Last synced: 28 days ago
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A simple and detail application analysis of sci kit learn LogisticRegression model .

• Host: GitHub
• URL: https://github.com/baponkar/scikit-logisticregression-application
• Owner: baponkar
• License: gpl-3.0
• Created: 2020-09-11T07:44:14.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-05-07T14:44:18.000Z (over 3 years ago)
• Last Synced: 2024-11-07T05:42:16.754Z (3 months ago)
• Topics: classification-algorithm, logistic-regression, machine-learning, python3, scikit-learn
• Language: Python
• Homepage:
• Size: 66.4 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# scikit-LogisticRegression-application

-----------

![python](https://img.shields.io/badge/python-3.6.9-blue)

![sklearn](https://img.shields.io/badge/scikit--learn-0.20.2-red)

[![alt text][1.1]][1]

[1.1]: http://i.imgur.com/tXSoThF.png (twitter icon with padding)

[1.2]: http://i.imgur.com/wWzX9uB.png (twitter icon without padding)

[1]: https://twitter.com/kar_bapon

#### :octocat: Version : 1.0.0

#### :octocat: License :  The GNU General Public License

#### :octocat: Dependence : required additional packages is '[sklearn](https://scikit-learn.org/stable/)',[pandas](https://pypi.org/project/pandas/).

which can install by

```

# pip3 install sklearn

# pip3 install pandas

```

A simple and detail applicational analysis of sci kit learn LogisticRegression model .

* Description : In this program uses 'titanic.csv'download link

              (https://sololearn.com/uploads/files/titanic.csv)

              as data source which has

              [Survived,Pclass,Sex,Age,Siblings/Spouces,Parents/Children

              Fare] columns.Survived has two data 1[True] and 0[False].

              It has total 887 row and 7 columns features.

              In this program I am using logisticRegression model

              to train and predict the data.Logisticregression model

              doesnot return just a prediction ,but it returns a probability

              level from 0 to 1.It has following parameters

              [penalty,dual,tol,C,fit_intercept,intercept_scalling,

              class_weight,random_state,solver,max_iter,multi_class,verbose,

              warm-start,n_jobs,l1_ratio].

              My python version is python-3.6.9 and

              Sci-kit learning version-0.20.2

* References : 

- [x] A. C. Muller and S. Guido - Introduction to Machine Learning with Python - 2017

- [x] Hands on Machine Learning with Scikit Learn and Tensorflow

- [x] https://www.sololearn.com

- [x] https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html

- [x] Trevor Hastie,Robert Tibshirani and Jerome FriedmanThe Elements of Statistical Learning Data Mining, Inference, and Prediction

* Output Figure

![Output Figure](https://github.com/baponkar/scikit-LogisticRegression-application/blob/master/logestic_regression_figure.png)