Machine Learning

Skewness Skewness - "Lack of Symmetry"     We Study skewness to have an idea about the shape of the curve  which we draw with the help of given data. If for a given data Mean = Median = Mode, then we say that the data is Symmetrical or Not skewed whereas the given  data is said to be Asymmetrical or Skewed if: 1. Mean, Median and Mode doesn't fall at same point. 2. Quartiles are not equidistant. 3. The curve drawn is not symmetrical but stretched more to one side than the other. and such Asymmetrical distributions could either be Positively Skewed or Negatively  Skewed. a) Symmetrical Distribution In the above diagram we have Mean = Median = Mode, so we can say that the data is distributed symmetrically along the center(Mean). We usually refer this kind of distributions as Normal Distributions or Gaussian Distribution which has a bell shaped curve. Gaussian Distribution is very important from statistical point of view and has wide range of applications in the fi...

              Statistics has become significantly popular in the recent years with the exponential growth in the applications in various fields like Economics, Business, Healthcare, Logistics, Risk Management, Policy Making, Government Institutions and every possible industry where data is generated. Data is the new oil, with the application of blend of cutting edge technologies and Statistical Methods we can solve most complex business problems. With the advent of Big Data, Machine Learning and Artificial Intelligence, majority of the companies are incorporating data analytics and data driven solutions when building strategic applications and decision making. What is Statistics? ‘ Statistics is a branch of applied mathematics  which specializes in data.’  -  This is the most straightforward yet simple definition of statistics. Definitions by Great Statisticians: 1. "Statistics is the science of counting. The science of averages ....