Author Archives: Vijaysinh Lendave - Page 21

15 Jun

FastAPI vs Flask: Comparison Guide for Data Science Enthusiasts

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image-23573

Data Science being a multidisciplinary area, is not only restricted to creating problem-specific models. One of the challenges faced by people working in this field is deploying any ML model. But nowadays, it is pretty straightforward to deploy or test your machine learning model at the production level. This is an essential step because not…

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13 Jun

How to Identify Entities in NLP?

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image-23517

Generally, when we read a text, we recognize entities straightway like people, values, locations and more. For example, in the sentence “ Alexander the Great, was a king of the ancient Greek kingdom of Macedonia.”, we can identify three types of entities as follows: Person: Alexander Culture: Greek Kingdom: Macedonia  We are getting an enormous…

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10 Jun

Python Guide to Precision-Recall Tradeoff

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image-23438

What do you think should we consider only the accuracy score as a benchmark for our classification task? Many beginners in this field have misunderstood; getting good accuracy for classification models means they have built a perfect model which classifies every instance. Well, you can consider only accuracy as a benchmark for regression problems. For…

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09 Jun

Guide to Multi-Class Classification

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image-23403

Like binary classification, something like predicting 1 or 0, the patient is diabetic or not diabetic, means predicting two classes,  is not the current world scenario. Nowadays, there are N number of categories or classes present if you talk about a particular domain. So to perform classification tasks here, all predictive classification models do not…

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08 Jun

Understanding Overfitting and Underfitting for Data Science

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image-23389

Whenever a data scientist works to predict or classify a problem, they first detect accuracy by using the trained model to the train set and then to the test set.  If the accuracy is satisfactory, i.e., both the training and testing accuracy are good, then a particular model is considered for further development. But sometimes,…

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