Shaily jainWhat Makes Convex Functions so special for Machine Learning??Every Machine learning Problem is an Optimization Problem.2 min read·May 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…3 min read·May 15, 2021----
Shaily jainLimitations, Assumptions Watch-Outs of Principal Component AnalysisHey!, I know enough of PCA, but why not?5 min read·May 15, 2021----
Shaily jainDimensionality ReductionMaking Scary looking, uncontrollable data to a manageable, small dimensions while retaining properties of original data.3 min read·May 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.3 min read·May 14, 2021----
Shaily jainInferential StatisticsOne step forward to our goal of knowing everything.2 min read·May 12, 2021----
Shaily jainBagging and Boosting AlgorithmsWe are about to discuss pure beauty, stay with me for this.4 min read·May 11, 2021----
Shaily jainXGBoost- Ensemble TechniqueAs name says it is Extreme Gradient Boosting.4 min read·May 11, 2021----