Shreya Bose

For Python developers, the Levenshtein distance package is one of the most valuable tools for text analysis, comparison, and natural language processing. The Levenshtein distance algorithm is indispensable because it is used in many real-life applications such as bioinformatics, speech recognition and spell checks. The Levenshtein distance is a metric used to calculate the difference […]

Empirical distribution in Python describes the distribution of data from what is observed rather than having an underlying assumption. It represents the frequency or proportion of observations falling into a particular range by using histograms, cumulative distribution functions (CDFs), or probability mass functions (PMFs). It is a type of deductive distribution technique that makes direct

Optimization is one of the most fundamental functions of any algorithm. Unconstrained optimization problems refer to those problems where we need to maximize or minimize our function without any constraint on our decision variables. These problems find their usage in many fields such as economics, engineering, machine learning, and many more. The backtracking line search

It has become the need of the hour to use machine learning models and neural networks to detect fraud. The availability of modern technology has enabled us to detect scams without having to identify and scrutinize everything manually. In the era where digital currency dominates, the authentication of physical currency becomes more and more questionable.

Tensorflow is one of the most popular and widely used software applications in the world. Developers use it to create and implement deep learning algorithms. Even though it is popular for being easy to use, sometimes users might face difficulty when downloading and installing it in their system. These problems are mainly caused by dependencies,

As with any software or programming language, they evolve and the older versions reach the end of their support life cycle. The developer team no longer wants to update older versions when newer ones appear. The team only wants to keep the newer versions up-to-date so that they can support other applications and focus on

The random forest model in Python is a powerful and versatile algorithm that is used for both regression and classification tasks. The “forest” in random forest comes from the fact that a bunch of decision trees are clubbed together to formulate the model, hence the name random forest. It comes under the category of ensemble

The ‘if’ statement is one of the most widely used conditional statements in Python. It is simple and easy to implement as is one of the very first things that beginners learn when they are learning any programming language. Even at a professional level, it forms an essential part of almost every program and software.

Effect size measure is one of the most important tools in statistical analysis. Effect size measures determine the strength of the relationship between two groups and their degree of difference. For example, if we have two groups in a class namely, A and B, and they have mean scores of 75 and 80, we can