Some of the most common metacharacters used in Regex along with usage: . matches any character including whitespace. + matches 1 or more occurrences of the preceding subexpression. ? matches 0 or 1 occurrence of the preceding subexpression. * matches 0 or more occurrences of the preceding subexpression.

Data Normalisation is a bottom-up technique for database design, as opposed to Entity-Relationship Diagrams, which are a top-down technique for the same. These two approaches generally complement each other, and a balanced approach to database design will use both these approaches. Data normalisation is the technique of organising data into…

In this article, I have tried to summarise the main features of the most common supervised ML algorithms in use, excluding ensemble methods such as RandomForest or XGboost, which I will deal with in another article. Please note that in all the cases below, n represents the number of input…

In the previous article, I discussed building a linear regression model using Tensorflow. In this article, I will try to solve a multiclass classification problem using Tensorflow. I have used the MNIST-digit recognizer dataset here. Please note that even though a Convolutional Neural Network might have worked better for this…

A neural network is normally associated with Deep Learning problems, such as Image classification or Natural Language Processing. But it can as easily be trained to build a Linear Regression model. In fact, building a Linear Regression model is a good starting point for learning how to build neural networks. …

A decision boundary is a surface that separates two or more classes into different sets, where all the points belonging to one class lie on one side of the decision boundary. Plotting a decision boundary is a great way to visually evaluate how good our machine learning model is, and…

Inferential statistics, where we take a sample from a population and use that sample to make predictions about the populations, is all about Hypothesis testing. For example, suppose we have been told that the mean height of 25-year old males in the US is 172 cm(=𝜇). We could try to…

A population is defined by parameters such as mean and variance and standard deviation. But finding these values for a population can be difficult or impossible because it is not usually easy to collect data for every single subject in a large population. So instead of collecting data in the…

Discrete probability distributions describe the probability of distribution of random variables which can only take discrete values, as opposed to continuous probability distributions where the random variable can take any value. An example of a discrete random variable is the outcome of a roll of a dice, which are discrete…