raghavendranhp/Resume_screening

this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.

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ziyadovea/svm

Реализация метода опорных векторов для классификации данных

Language: Go - Size: 1.68 MB - Last synced at: 10 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

pawel-laczkowski/support-vector-machines

Own implementation of SVM classifier solving dual optimization problem

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falcaozane/Resume-Parser-py

resume parser using spacy and streamlit

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tharuneshwar-s/ResumeRevealer

ResumeRevealer is an advanced tool designed for HR professionals, recruiters, and hiring managers to streamline the process of resume parsing and candidate evaluation. It offers a comprehensive solution to extract valuable insights from diverse resume formats, standardize job titles, and mine detailed skills from project descriptions.

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Sarthak-Mohapatra/US-Airlines-Tweets-Sentiment-Analysis

Classifying a tweet as positive, neutral, or negative sentiment using Natural Language Processing (CBOW approaches) and Traditional Machine Learning Algorithms.

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tezzytezzy/credit-risk-anomaly-detection

Binary Classification Models with pySpark in Apache Spark

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akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

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iambankaratharva/Tag-Prediction-on-Stack-Overflow-Posts

Using NLP or prediction of stack overflow posts using linear models for multi-class classification

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sid230798/HandWritten_Digit_Recognistion_Neural_Networks_andrew_NG

Recognise Handwritten Digits MNIST data set using Neural Networks and Multi class Classification for Logisitc Regression

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aiden506/Resume-Categorizer-and-Ranker

Our system is able to categorize resumes using OneVsRestClassifier with 98% testing accuracy. Additionally it ranks resumes using the probability score of the classifier model.

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framdani/Hogwarts-House-Prediction

Logistic regression model to sort Hogwarts students into their perspective houses based on their performance in classes.

Language: Python - Size: 246 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Nomadic43/Cancer-prediction-using-machine-learning

Cancer detection system using machine learning algorithm and training the model on different gene expression of cancer

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NipunRathore/Tags-Prediction

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ms-daniel/Exercicios-Inteligencia-Artificial

Base de dados que será utilizada para treinamento de uma rede perceptron.

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XD-OB/DSLR

Harry Potter and a Data Scientist: Write a multi-class classifier using gradient descent optimization algorithm to replace the bewitched Sorting Hat and save Hogwarts! 🎩🧙‍♂️

Language: Python - Size: 4.41 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 1

AuroraPeng/Customer_Segmentation

Using ML Classification to predict customer segmentation groups

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rishabchandna/car_evaluation

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Ankit152/StackOverflow-Tag-Prediction

A machine learning model that predicts tags for a given question and body.

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somjit101/NLP-StackerOverflow-Tag-Prediction

A multi-class classification problem where the objective is to read a question posted on the popular reference website, StackOverflow and predict the primary topics it deals with, i.e. tags which the question will be associated with.

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tanishq13/Sentiment-Analysis

Simple Codes

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Mona-Arami/NLP

Classification and Auto-Tagging of Stack Exchange Questions

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