Median Absolute deviation is one of the other techniques specifically used for analyzing the performance of regression models. Computing MAD of errors For a univariate data set X1, X2, …, Xn, the MAD is defined as the median of the absolute deviations from the data’s median, X_median = median(X) Median Read more…
Writing clean code is more of an art rather than a science. So What really makes code cleaner?. In this series called Clean Code Concepts, we investigate some of the ways to write code in a clean way. There are several aspects to write cleaner code, some are language agnostic others Read more…
R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. This metric is specifically designed for regression-based algorithms where the output is a real value. Computing Read more…
We can plot error distributions like probability density functionand cumulative density function and make important deductionsbased on it. We can use plot Probability Density functions(PDF) and Cumulative density function (CDF) by using the error function as a random variable Using PDF of error distribution An ideal pdf for error distributions Read more…
Logarithmic loss (or cross-entropy) measures the performance of a classification model where the prediction input is a probability value between 0 and 1. The goal of our machine learning models is to minimize this value. It is also heavily used in Kaggle competitions to estimate the score of submissions. A Read more…
Welcome to part 1 of writing python like a pro. This series is definitely part of the advanced python series. It assumes you already know python and are definitely comfortable with it. However, you are a person who wants to know how you can up your python game. You want Read more…
In this series, we would focus on some of the language-agnostic parts which can be used to improve your ability to write cleaner code in any language. So let’s dive right into the SOLID concepts of object-oriented design. S.O.L.I.D is an acronym for the first five object-oriented design(OOD) principles by Robert C. Read more…
In statistics, a confidence interval (CI) is a type of interval estimate which we compute using the statistics of the observed data. The interval has an associated confidence level that, loosely speaking, quantifies the level of confidence that the value of the parameter lies in the interval. For eg, if Read more…
Suppose you have taken the data for heights and weights of students in class and you want to figure out the correlation between heights and weights of students. The relation between these two parameters is defined mathematically by one of the 3 ways 1) Covariance 2) Pearson Correlation Coefficient 3) Read more…
Types of Distributions Bernoulli and Binomial distribution A Bernoulli random variable has two possible outcomes: 0 or 1. A binomial distribution is the sum of independent and identically distributed Bernoulli random variables. So, for example, say I have a coin, and, when tossed, the probability it lands heads is p. Read more…