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data-pioneer / MLops-Name-Entity-Recognition-End-to-End-main

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Implementation of MLops pipeline for Named Entity Recognition (NER) using pretrained Huggingface BERT transformer based model, further use CircleCI CI/CD tool for deployment on google cloud platform by using Docker image, Flask front end interface.

circleci deep-neural-networks docker-image google-cloud flask-application bert-fine-tuning pythin3 huggingface-transformers artifact-registry
  • Updated May 17, 2024
  • Python

FilobateerEssam / IBM-Machine-Learning-Project

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build a classifier to predict whether a loan case will be paid off or not. in loan applications, clean the data, and apply different classification algorithm on the data. use the following algorithms to build your models: k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression The results is reported as the accuracy of each …

machine-learning-algorithms classification logistic-regression decision-tree svm-classifier f1-score jaccard-index pythin3 k-nearest-neighbour logloass
  • Updated Oct 3, 2022
  • Jupyter Notebook

arnavdev25 / Python-Practice

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Executive Summary. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language..

pythin3
  • Updated Jul 11, 2022
  • Python

RobinMillford / India-s-COVID-19-Journey-A-Case-Study-Analysis

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In this extensive project, I embarked on a profound exploration of India's journey through the COVID-19 pandemic. This endeavor involved a multi-faceted approach, encompassing data preprocessing with Python, data analysis with SQL queries, and data visualization using Power BI.

sql jupyter-notebook data-visualization data-analysis powerbi covid-19 pythin3 data-cleaning-and-preprocessing
  • Updated Oct 2, 2023
  • Jupyter Notebook

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