skilltohireA Beginner’s Guide to Parametric statisticsInferential statistics suggest statements about a population based on a sample from that population. Parametric inferential tests are…Jul 30, 2020Jul 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…Jul 30, 2020Jul 30, 2020
skilltohireTypes of Distributions in StatisticsIn this segment, we will be focusing majorly on the following topics;Jul 30, 2020Jul 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…Jul 30, 2020Jul 30, 2020
skilltohireBayesian Inference inBayesian statistics is a particular approach to applying probability to statistical problems. It provides us with mathematical tools to…Jul 29, 2020Jul 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…Jul 29, 2020Jul 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…Jul 29, 2020Jul 29, 2020
skilltohireXGBOOSTXGBOOST is implemented over the Gradient Boosted Trees algorithm. XG Boost is an ensemble learning technique which combine the predictive…Jul 29, 2020Jul 29, 2020
skilltohireThe Beginner’s Guide for Gradient BoostingGradient boosting is one of the most powerful techniques for building predictive models.Jul 28, 2020Jul 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…Jul 28, 2020Jul 28, 2020