{"id":18638008,"url":"https://github.com/baponkar/scikit-logisticregression-application","last_synced_at":"2026-05-04T07:31:55.635Z","repository":{"id":106479805,"uuid":"294628578","full_name":"baponkar/scikit-LogisticRegression-application","owner":"baponkar","description":"A simple and detail application analysis of sci kit learn LogisticRegression model 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scikit-LogisticRegression-application\n-----------\n\n![python](https://img.shields.io/badge/python-3.6.9-blue)\n![sklearn](https://img.shields.io/badge/scikit--learn-0.20.2-red)\n\u003c!-- Please don't remove this: Grab your social icons from https://github.com/carlsednaoui/gitsocial --\u003e\n\n\u003c!-- display the social media buttons in your README --\u003e\n\n[![alt text][1.1]][1]\n\n\n\n\u003c!-- links to social media icons --\u003e\n\u003c!-- no need to change these --\u003e\n\n\u003c!-- icons with padding --\u003e\n\n[1.1]: http://i.imgur.com/tXSoThF.png (twitter icon with padding)\n\n\n\u003c!-- icons without padding --\u003e\n\n[1.2]: http://i.imgur.com/wWzX9uB.png (twitter icon without padding)\n\n\n\n\u003c!-- links to your social media accounts --\u003e\n\u003c!-- update these accordingly --\u003e\n\n[1]: https://twitter.com/kar_bapon\n\n\n\u003c!-- Please don't remove this: Grab your social icons from https://github.com/carlsednaoui/gitsocial --\u003e\n\n\n\n#### :octocat: Version : 1.0.0\n#### :octocat: License :  The GNU General Public License\n#### :octocat: Dependence : required additional packages is '[sklearn](https://scikit-learn.org/stable/)',[pandas](https://pypi.org/project/pandas/).\nwhich can install by\n```\n# pip3 install sklearn\n# pip3 install pandas\n```\nA simple and detail applicational analysis of sci kit learn LogisticRegression model .\n* Description : In this program uses 'titanic.csv'download link\n              (https://sololearn.com/uploads/files/titanic.csv)\n              as data source which has\n              [Survived,Pclass,Sex,Age,Siblings/Spouces,Parents/Children\n              Fare] columns.Survived has two data 1[True] and 0[False].\n              It has total 887 row and 7 columns features.\n              In this program I am using logisticRegression model\n              to train and predict the data.Logisticregression model\n              doesnot return just a prediction ,but it returns a probability\n              level from 0 to 1.It has following parameters\n              [penalty,dual,tol,C,fit_intercept,intercept_scalling,\n              class_weight,random_state,solver,max_iter,multi_class,verbose,\n              warm-start,n_jobs,l1_ratio].\n              My python version is python-3.6.9 and\n              Sci-kit learning version-0.20.2\n\n* References : \n- [x] A. C. Muller and S. Guido - Introduction to Machine Learning with Python - 2017\n- [x] Hands on Machine Learning with Scikit Learn and Tensorflow\n- [x] https://www.sololearn.com\n- [x] https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html\n- [x] Trevor Hastie,Robert Tibshirani and Jerome FriedmanThe Elements of Statistical Learning Data Mining, Inference, and Prediction\n\n* Output Figure\n\n![Output Figure](https://github.com/baponkar/scikit-LogisticRegression-application/blob/master/logestic_regression_figure.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbaponkar%2Fscikit-logisticregression-application","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbaponkar%2Fscikit-logisticregression-application","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbaponkar%2Fscikit-logisticregression-application/lists"}