HowTo

Deploying Streamlit and FastAPI apps using Docker and Docker-compose

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Containerization refers to the process of virtualization in which all the components of an application are bundled into a single container image and can be run in isolated user space on the same shared operating system. The containers are basically a fully functional and portable cloud or non-cloud computing environment surrounding the application and keeping …

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Text Annotation Using Label Studio On DagsHub

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Dagshub is the platform where people build data science project. It is built on the shoulders of open source tools that we are mostly familiar with in the Data science and AI field.One of the cool features of Dagshub is the Annotations feature. It is an integration of Label Studio into Dagshub, making it easier …

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How to Fix TypeError: ‘ ‘ object is not subscriptable

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Object Oriented Programming is a vital feature when it comes to writing code. In Python, everything can be seen as an object and one of the ways of creating objects in python is via ‘Class’.A Class is like an object constructor, or a “blueprint” for creating objects.When working with classes one of the errors you …

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An Intro to DagsHub For Data Scientists

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DagsHub is a platform for data scientists and machine learning engineers to version their data, models, experiments, and code. In a way it is like Github for Data Scientists and ML Engineers. It is where Data Scientists build their ML projects without any external and complicated devops. It seeks to simplify MLOps for everyone. It allows …

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Hash Identification Using Machine Learning and 3 Tools

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A hash is unique fixed-size values or a fixed-length string of characters produced by a hash function. It is the values returned by a hash algorithm. Such values can also be termed as Message Digests or simply a Hash. A hash function is any function than can be used to map data of arbitrary size …

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Natural Language Processing with Spark NLU

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Natural Language Processing ( NLP for short) is an exciting and useful field of Data Science. Some of applications of NLP involves Text Classification Sentiment Analysis Machine Translation Chatbots Creation Keyword Extraction NER etc With the increase of textual data, comes the increase of performant and fine tuned State of the Art(SoTA) models. These models …

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