InTDS ArchivebyRukshan Pramodithak-fold cross-validation explained in plain EnglishFor evaluating a model’s performance and hyperparameter tuningDec 19, 20201Dec 19, 20201
InTDS ArchivebyRukshan PramodithaPython Implementation of Grid Search and Random Search for Hyperparameter OptimizationJun 7, 2021Jun 7, 2021
InTDS ArchivebyRukshan Pramoditha4 Ways to Visualize Individual Decision Trees in a Random ForestMay 7, 20214May 7, 20214
InTDS ArchivebyRukshan Pramoditha4 Useful techniques that can mitigate overfitting in decision treesMay 16, 2021May 16, 2021
InTDS ArchivebyRukshan Pramoditha4 Machine learning techniques for outlier detection in PythonMachine learning-based outlier detectionMar 27, 2021Mar 27, 2021
InTDS ArchivebyRukshan Pramoditha9 Guidelines to master Scikit-learn without giving up in the middleLearn the way that worked for meApr 5, 20211Apr 5, 20211
InTDS ArchivebyRukshan PramodithaRandom forests — An ensemble of decision treesThis is how decision trees are combined to make a random forestOct 29, 2020Oct 29, 2020
Rukshan PramodithaHands-On K-Means ClusteringWith Python, Scikit-learn and YellowbrickJul 20, 20201Jul 20, 20201
InData Science 365byRukshan PramodithaPrincipal Component Analysis (PCA) with Scikit-learnUnsupervised Machine Learning Algorithm for Dimensionality ReductionAug 4, 20201Aug 4, 20201
InTDS ArchivebyRukshan PramodithaPolynomial Regression with a Machine Learning PipelineSequentially apply multiple transformers and a final regressor to build your modelOct 12, 20202Oct 12, 20202
InTDS ArchivebyRukshan PramodithaTrain a regression model using a decision treeFor complex nonlinear dataOct 26, 2020Oct 26, 2020
InTDS ArchivebyRukshan PramodithaHow to Train a Regression Model Using a Random ForestFor complex non-linear dataMar 8, 20222Mar 8, 20222
