1. Introduction In the field of healthcare, accurate and timely prediction of medical conditions can be crucial for patient outcomes. One such condition is sepsis, a life-threatening response to infection. In this article, we will explore how to build a Sepsis Prediction API using the FastAPI framework. FastAPI provides a high-performance and…

1. Introduction In today’s world, sentiment analysis has become an essential tool for businesses to gauge customer satisfaction and understand consumer behavior. In this article, we will explore how to deploy a sentiment analysis app to Hugging Face using Docker. We will discuss the architecture of the app, how it uses a…

Deploying a Sentiment Analysis App on Hugging Face: A Comprehensive Guide with Testing and Debugging Strategies. — 1. Introduction The article discusses the challenge of deploying sentiment analysis apps, which extract subjective information from text, and the benefits of using Hugging Face, an NLP platform that simplifies the deployment of NLP applications. The article provides a step-by-step guide for deploying a sentiment analysis app on Hugging Face, including preparing…

I. Introduction 1.1 Sentiment Analysis a. Overview of Sentiment Analysis Sentiment Analysis is a process of analyzing and extracting emotions, opinions, and attitudes expressed in a piece of text. It is a branch of Natural Language Processing (NLP) that aims to understand the sentiment of a given text, whether it is…

1. Introduction In this article, we will explore the process of building a Sales Forecasting App using Streamlit. Streamlit is a powerful tool for building interactive and data-driven web applications with Python. …

1. Introduction In this article, we will explore the process of building a customer churn prediction app with Gradio, a Python library that allows you to quickly create customizable UIs for your machine learning models. We will walk through the steps of collecting and preparing the input data and integrating an already…

1. Introduction The Telco industry faces a significant challenge of customer churn, which has a severe impact on business revenue. In this project, we aim to predict customer churn using machine learning models. The project will utilize the CRISP-DM framework to guide the process, starting with understanding the business problem and data…

1. Introduction This project is one of my projects to complete in the Azubi Data Analytics Trainee program. The purpose of the project is for students to showcase their knowledge and skills acquired throughout the program. The data for the analysis is a four CSV zipped file which contains data on Indian…