Ravali MunagalainDataDrivenInvestorHyper Parameter Tuning Using Grid search and Random searchA hyperparameter is a parameter that controls the learning process of the machine learning algorithm. Hyperparameter Tuning is choosing…Mar 19, 2021Mar 19, 2021
Ravali MunagalainNerd For TechHDF5 file format with PandasHDF5 is a data format that stores and manages large and complex data with lesser disk space and faster retrieve.Mar 16, 2021Mar 16, 2021
Ravali MunagalainNerd For TechFeature ScalingFeature Scaling is a method to transform the numeric features in a dataset to a standard range so that the performance of the machine…Mar 14, 2021Mar 14, 2021
Ravali MunagalainNerd For TechGradient Boost for Regression ExplainedGradient boost is a machine learning algorithm which works on the ensemble technique called ‘Boosting’. Like other boosting models…Mar 9, 2021Mar 9, 2021
Ravali MunagalaRegularization in Linear ModelsIn machine learning, Regularization is a modification to be applied on a model so that we get more generalized model that fits well with…Mar 2, 2021Mar 2, 2021
Ravali MunagalainNerd For TechUnderstanding AdaboostAdaboost is adaptive learning algorithm, which learns from calling weak learning algorithms repeatedly in a sequential way. It adapts to…Feb 22, 2021Feb 22, 2021
Ravali MunagalaDecision tree vs SVMA Decision tree is a tool in Machine learning that is tree like model which uses some conditions to arrive at a consequence. Each…Jan 30, 2021Jan 30, 2021
