Sabudh Intern's blog

Statistics By Sehra Sir We had been having sessions with Sukhjit Sehra Sir on statistics since the past week. This week we learned about the following topics: Probability and Probability Distributions Probability theory developed from the study of games of chance like dice and cards.  A process like flipping a coin, rolling a die or drawing a card from a deck is called probability experiments.  An outcome is a specific result of a single trial of a probability experiment. Probability Distributions Probability theory is the foundation for statistical inference.  A probability distribution is a device for indicating the values that a random variable may have.  There are two categories of random variables.  These are discrete random variables and continuous random variables. Discrete random variable The probability distribution of a discrete random variable specifies all possible values of a discrete random variable along with their respective probabiliti...

Introduction to Linear Regression Simple linear regression is useful for finding a relationship between two continuous variables. One is a predictor or independent variable and other is a response or dependent variable. It looks for a statistical relationship but not a deterministic relationship. The relationship between the two variables is said to be deterministic if one variable can be accurately expressed by the other. For example, using temperature in degree Celsius it is possible to accurately predict Fahrenheit. Statistical relationship is not accurate in determining the relationship between two variables. For example, the relationship between height and weight. With simple linear regression we want to model our data as follows: y = B0 + B1 * x This is a line where y is the output variable we want to predict, x is the input variable we know and B0 and B1 are coefficients we need to estimate. It also required us to understand the concept of gradient descent.  G...