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Coursework Description: The quakes.csv data file (available in the Earthquakes folder under the Files tab on Teams) provides the raw data...

Text annotation, also known as text labeling, involves enriching textual data with additional information. This process adds structure...

This assignment aims to implement an artificial neural network (ANN) model using TensorFlow or Keras and evaluate its performance on a...

This assignment aims to introduce students to the core functionalities of Power BI by creating an interactive dashboard from a chosen...

In the realm of Generative AI, the emergence of quantized model it becomes easier to run open source models, especially for businesses,...

Introduction: In the previous blog post of FastAPI series, we built a simple Student Information System using FastAPI. Now, In this blog...

In this blog we will explore different option to run quantized models locally. There are multiple opensource libraries and tools that are...

Introduction to Pydantic: FastAPI, a modern, fast web framework for building APIs with Python 3.7+ based on standard Python type hints,...

In this blog we will explore the transformative benefits of quantized Large Language Models (LLMs), on how it offers efficiency, reduced...

In the previous blog, we introduced FastAPI and set up a basic application. Now, let's take the next step and create a simple Student...

Whether you're building intricate social networks, analyzing complex relationships, or navigating vast knowledge graphs, Codersarts...

Creating a boilerplate code for a FastAPI app involves setting up the basic structure and dependencies needed to start building your...

A Data Science Master's Thesis is a culminating academic project completed by students pursuing a Master's degree in Data Science. It's...