Shaily jainWhat Makes Convex Functions so special for Machine Learning??Every Machine learning Problem is an Optimization Problem.May 31, 2021May 31, 2021
Shaily jainPrincipal Component Analysis- The MATHHi, Isn’t PCA a hyped method for Dimensionality Reduction. All for good reasons. Let’s look out what maths has to say about this Non…May 15, 2021May 15, 2021
Shaily jainLimitations, Assumptions Watch-Outs of Principal Component AnalysisHey!, I know enough of PCA, but why not?May 15, 2021May 15, 2021
Shaily jainDimensionality ReductionMaking Scary looking, uncontrollable data to a manageable, small dimensions while retaining properties of original data.May 14, 2021May 14, 2021
Shaily jainFeature Selection for Dimensionality ReductionFeature Selection is a simple way to reduce dimensions of your data, which is easier to understand as well.May 14, 2021May 14, 2021
Shaily jainInferential StatisticsOne step forward to our goal of knowing everything.May 12, 2021May 12, 2021
Shaily jainBagging and Boosting AlgorithmsWe are about to discuss pure beauty, stay with me for this.May 11, 2021May 11, 2021
Shaily jainXGBoost- Ensemble TechniqueAs name says it is Extreme Gradient Boosting.May 11, 2021May 11, 2021
