Probability Distribution Function

It is divided into two parts Discrete Probability Distribution Function and Continuous Probability Distribution Function. Discrete Probability Distribution Function:   Discrete means a variable that takes values from afinite or countable set, Lets say when we roll a dice we might get the value in between 1 to 6. When we roll a dice the probability of gettingContinue reading “Probability Distribution Function”

Binomial distribution

A binomial distribution is a probability of SUCCESS or FAILURE in an experiment that is repeated many times. It is call Binominal because we will have only two outcomes. Binomial is a discrete because the values are fixed For Eg: I want to roll a dice and expecting six, I will either get six (SUCCESS)Continue reading “Binomial distribution”

Logistic regression

Logistic regression will comes under supervised learning to solve classification problems.some real time use cases like if customer is good or bad,predicting defaulters, Email spam detection, Fraud detection etc.. Great I have a question why can’t we use linear regression to solve classification problem? As we seen above the usage of logistic regression we needContinue reading “Logistic regression”