THE DATA SCIENCE LIBRARY

THE DATA SCIENCE LIBRARY

Wojciech Moszczyński

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SVM Support Vector Machine

Estimation of the result of the empirical research with machine learning tools. Classification with SVM Support Vector Machine (part 3)

March 2, 2019 admin 0

SVM Support Vector Machine

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Recent Posts

  • Conglomerate of the models 5#: Comparative analysis of classification models, calibration, bagging June 4, 2020
  • Conglomerate of the models #4: Comparative analysis of classification models, bagging, cross-validation June 4, 2020
  • Conglomerate of the models #3: CALIBRATING of the MODELS May 31, 2020
  • Conglomerate of the models #2: Goes using the oversampling method make any sense? May 29, 2020
  • Conglomerate of the models #1: How to quickly compare the quality of six models at the same time May 22, 2020
  • Comparison of classification quality of 4 classic gradient boosting models and their after bagging versions (BaggingClassifier) May 18, 2020
  • Measuring the efficiency of banking transaction systems using Queueing Theory May 14, 2020
  • Queueing Theory: Bomber landing analysis May 13, 2020
  • Stacking in Trident 1.1 [Stroke_Prediction.csv] May 9, 2020
  • Multioutput Stacking Regressor May 3, 2020
  • Pytorch regression 3.7 [BikeSharing.csv] May 3, 2020
  • Pytorch regression 3.1 [BikeSharing.csv] May 2, 2020
  • Pytorch regression 2.3 [BikeSharing.csv] May 2, 2020
  • Pytorch regression 2.3 [AirQualityUCI.csv] May 2, 2020
  • Pytorch regression _2.1_ [WorldHappinessReport.csv] April 30, 2020
  • Pytorch regression _1.1_[WorldHappinessReport] April 29, 2020
  • Review of models based on gradient falling: XGBoost, LightGBM, CatBoost April 24, 2020
  • Kilka prostych przykładów z programowanie objektowe w Python April 24, 2020
  • Perfect Plots Bubble Plot [definitions] 100420201321 April 24, 2020
  • Perfect Plots_ Matrix of corelation April 24, 2020
  • Perfect plot Joyplot April 24, 2020
  • Interpretation of SHAP charts for the Titanic case (Feature Selection Techniques) April 9, 2020
  • Homemade loop to search for the best functions for the regression model (Feature Selection Techniques) April 9, 2020
  • How to calculate the probability of survival of the Titanic catastrophe_080420201050 April 9, 2020
  • (B29) CatBoostClassifier #2 April 8, 2020
  • CatBoost Step 1. CatBoostClassifier (cat_features) April 3, 2020
  • Feature Selection Techniques [categorical result] – Step Forward Selection April 1, 2020
  • Feature Selection Techniques – Recursive Feature Elimination and cross-validated selection (RFECV) March 30, 2020
  • Feature Selection Techniques – Embedded Method (Lasso) March 30, 2020
  • Feature Selection Techniques – Recursive Feature Elimination (RFE) March 30, 2020

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