PinnedAnkit SanjyalData Analyst Without Programming KnowledgeWell, there isn’t a simple response to this query. While coding is undoubtedly helpful to a data analyst in many ways, it is not always…Feb 12Feb 12
Ankit SanjyalNull Value TreatmentAny cell in your data that has a Null or NA value filled in is referred to as a null value. Again, “0” is not a null value; instead, it can…Aug 29Aug 29
Ankit SanjyalSupport Vector Machine(SVM)Support Vector Machine (SVM) is a machine learning algorithm used for classification and regression analysis. SVMs are particularly…Mar 31, 2023Mar 31, 2023
Ankit SanjyalRidge Regression (L2 Regularization)Ridge regression is a popular linear regression technique that is used to address the issue of multicollinearity (high correlation) between…Mar 31, 2023Mar 31, 2023
Ankit SanjyalLasso RegressionLasso regression, also known as L1 regularization, is a linear regression method that adds a penalty term to the loss function that is…Mar 30, 2023Mar 30, 2023
Ankit SanjyalRegularization Techniques In Machine LearningRegularization techniques are used in machine learning to prevent overfitting and improve the generalization ability of models. Overfitting…Mar 30, 2023Mar 30, 2023
Ankit SanjyalLogistic Regression Using Python and RLogistic regression is a statistical technique used to analyze data that has one or more independent variables that determine an outcome or…Mar 29, 2023Mar 29, 2023
Ankit SanjyalDimensionality Reduction VS Feature SelectionWhat is Dimensionality Reduction?Dec 25, 2022Dec 25, 2022
Ankit SanjyalSampling MethodsBefore going to the sampling methods lets first understand what POPULATION is and what is SAMPLE.Dec 24, 2022Dec 24, 2022