skilltohireA Beginner’s Guide to Parametric statisticsInferential statistics suggest statements about a population based on a sample from that population. Parametric inferential tests are…5 min read·Jul 30, 2020----
skilltohireProbability Density Functions and Cumulative Density FunctionsFor a continuous function, the probability density function (pdf) is the probability that the variate has the value x. Since for…4 min read·Jul 30, 2020----
skilltohireTypes of Distributions in StatisticsIn this segment, we will be focusing majorly on the following topics;3 min read·Jul 30, 2020----
skilltohireGetting started with StatisticsIn this blog we will talk about various terminologies which are very frequently used in statistics but before that let us define…3 min read·Jul 30, 2020----
skilltohireBayesian Inference inBayesian statistics is a particular approach to applying probability to statistical problems. It provides us with mathematical tools to…4 min read·Jul 29, 2020----
skilltohireHypothesis testing Basic IntuThe process of hypothesis testing is to draw assumptions or some conclusions about the overall population(whole data) or data by…4 min read·Jul 29, 2020----
skilltohireIndependent Component Analysis(ICA)ICA is yet another dimensionality reduction technique. Data variables in the model are linear mixtures of some unknown latent variables…3 min read·Jul 29, 2020----
skilltohireXGBOOSTXGBOOST is implemented over the Gradient Boosted Trees algorithm. XG Boost is an ensemble learning technique which combine the predictive…3 min read·Jul 29, 2020----
skilltohireThe Beginner’s Guide for Gradient BoostingGradient boosting is one of the most powerful techniques for building predictive models.3 min read·Jul 28, 2020----
skilltohiret- Distributed Stochastic Neighbour Embedding Algorithmt-Distributed Stochastic Neighbor Embedding (t-SNE) is used in data exploration and for visualizing high-dimension data. It is an…3 min read·Jul 28, 2020----