The article discusses interview questions asked in many machine learning job roles Explain label encoding and one hot encoding, Explain how the dimensionality of a dataset is affected with these methods in machine learning Machine learning algorithms can understand only numbers. Often, the dataset consists of categorical and numerical features. We need to convert the
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This blog post is a summary of the book “Atomic Habits” written by James Clear. Like many of you, I too used to write/set resolutions, mostly around my birthday or New year and used to get disappointed in consequent days with the broken resolutions. The realisation that I am not yet the person I actually
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This article describes a set of free PDF splitting and merging tools which is available offline. During our job or studies, we often process PDF files and images. These tasks include PDF merging, splitting, page removal, file size reduction, image cropping, etc. When you send an application out you might need your passport size photogram
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In this blog post, I am going to summarize the key ideas from the book titled “The Five Elements of Effective Thinking” written by Edward Burger and Michael Starbird along with my thoughts on the topic. The preface starts with arguing that thinking is the skill which forms all other skills like decision making, creativity,
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This article is one among the series of discussions on interview questions frequently asked in machine learning job roles Explain the concept confusion matrix in machine learning? Confusion matrix is a table displaying a summary of prediction results of a classification problem. Measuring accuracy of a model alone can be misleading in cases where the
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This is one among a series of frequently asked interview questions in machine learning published in this website Explain the terms Artificial Intelligence, Machine Learning, Deep Learning, and Reinforcement Learning? Artificial Intelligence (AI) is the domain of intelligent machines which can think rationally and act rationally. It uses algorithms to enable problem solving with robust
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The use of computational tools for data preprocessing and analysis is daily activity for any bioinformatician. Having a interdisciplinary field, a plethora of tools exist in the domain, written by developers from various fields and languages. Many times there can be multiple candidate tools exists to accomplish any given task. Often it is the decision
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This tutorial shows how to do molecular docking in colab. Molecular docking is an essential process in scientific drug discovery to predict the binding mode and affinity of a small molecule (ligand) to a target protein. This method can help to identify potential drug candidates by virtually screening large chemical libraries and selecting compounds that
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It is often required for aspiring data scientists to do portfolio projects either to show their skills or just simply for the pure joy of doing it. In either cases, the complexity of the project can be often a small one to medium one. To truly convince the recruiters, it is often required to do
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What are Support Vector Machines? Support Vector Machines (SVM) is one of the most elegant methods used for classification and regression in machine learning (ML). We can use SVM when we have a bunch of objects/features which we want to classify. SVM performs the classification by drawing a hyperplane (Figure.1) to separate each category of
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