Vivek SalunkheTime Series Forecasting MethodsA complete theoretical intuition behind Time Series and various terminologies associated is already published in the previous blog. This…Feb 11, 2022Feb 11, 2022
Vivek SalunkheTime SeriesTime series is a series of data points indexed (or listed or graphed) in time order or it can be considered as a sequence of data points…Feb 9, 2022Feb 9, 2022
Vivek SalunkheReinforcement LearningReinforcement Learning is a type of Machine Learning where an agent learns to behave in an environment by performing actions and seeing the…Aug 23, 2021Aug 23, 2021
Vivek SalunkheRegularization: Ridge and LassoRegularization is a process of adding information in order to deal with machine learning problems like overfitting. It is one of the most…Aug 21, 2021Aug 21, 2021
Vivek SalunkheLinear Discriminant AnalysisLinear Discriminant Analysis is one of the commonly used supervised technique for dimensionality reduction. It is also used in…Aug 16, 2021Aug 16, 2021
Vivek SalunkhePrincipal Component AnalysisPrincipal Component Analysis (PCA) is one of the widely used unsupervised technique for Dimensionality Reduction of the large data sets.Aug 15, 2021Aug 15, 2021
Vivek SalunkheHierarchical ClusteringIn our previous post we have studied about the intuition behind clustering and also about one of the type of clustering algorithm i.e…Jul 28, 2021Jul 28, 2021
Vivek SalunkheK-Means ClusteringClustering or Cluster Analysis is the task of grouping a set of objects in such a way that objects in the same group are more similar to…Jul 27, 2021Jul 27, 2021
Vivek SalunkheMetrics for Evaluating Classification Model PerformanceOnce the classification model is developed for a particular use case, it is now evident to evaluate the performance of the model developed…Jul 24, 2021Jul 24, 2021
Vivek SalunkheRandom Forest ClassificationRandom Forest models are a kind of non-parametric models that can be used both for regression and classification. Specifically we are…Jul 23, 2021Jul 23, 2021
