Introduction The FASTA file format is a widely used text-based file format for storing biological sequence information, such as DNA and protein sequences. It was developed in the early 1980s by William Pearson and David Lipman, and it has since become the de facto standard for sequence data storage and exchange. In this article, we […]
Logistic regression is an analytical technique in supervised machine learning for performing classification tasks. It is a classification algorithm based on probabilistic approach. Logistic regression approach can be used to make predictions on a categorical dependent variable. The algorithm extracts inferences from a given set of independent input variables and these inferences are used to
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Overview Materials science is a field of study that involves the research and discovery of new materials and its functional properties for applications in electronic storage devices, biomedical instrumentation, telecommunication equipment etc. The applications of material science spans from designing of products by exploiting its material properties to the manufacture of products which can contribute
Computational Prediction of Electronegativity Difference with Radius in Perovskites Read More »
The K-nearest neighbor (KNN) is a supervised machine learning algorithm. KNN is used mostly to classify data points although it can perform regression as well. The K-Nearest Neighbors Algorithm classify new data points to a particular category based on its similarity with the other data points in that category. The KNN algorithms grab the freedom
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This article discusses a couple of machine learning (ML) interview questions asked frequently in data science related job roles. When should we prefer ridge regression over lasso? Explain with reason Ridge regression is a regression in which we use L2 regularization to give a penalty to the loss function to reduce loss in the optimization
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There are many free bioinformatics databases available, which offer a wealth of biological data and information. Some of the popular ones are discussed below. NCBI National Center for Biotechnology Information (NCBI) provides access to various biological databases, such as GenBank, PubMed, Protein, and Nucleotide. The National Center for Biotechnology Information (NCBI) is a public database
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Introduction Hyperparameters are the parameters that are explicitly defined by the user for the machine learning model. This helps the learning process of the machine learning algorithm. The prefix “hyper” in hyperparameter means top-level, indicating these are the controlling parameters to ensure model performance. The user selects the value of the hyperparameter before the training
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This blog is part 5 of machine learning interview questions and answers series. Previous blog article and be found here. What is the need of cross validation in machine learning modeling? Cross validation is used to better utilize the input data to ensure the model performance. The input data will be divided into many subsets
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In this article I will show you how to create common python plots using Python programming language and dummy data. People from Science, Technology, Engineering and Medicine (STEM) fields often have to deal with scientific charts and graphs. They might use it to communicate their findings as well as learn the latest findings from their
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Technical definition Bias is a systematic error that happens during the machine learning model due to the incorrect assumptions taken during the training process of the machine learning model. Narration Imagine you pick up a group of cats and measure the height and weight of them. You are asked to find the height of another
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