Topic: "sgd-classifier"
MaksimEkin/COVID19-Literature-Clustering
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
Language: HTML - Size: 201 MB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 93 - Forks: 57

thefirebanks/Ensemble-Learning-for-Tweet-Classification-of-Hate-Speech-and-Offensive-Language
Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting
Language: Python - Size: 31.4 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 24 - Forks: 3

dayfundora/Personality-Type
Recognition of Persomnality Types from Facebook status using Machine Learning
Language: JavaScript - Size: 7.16 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 6

DipakMajhi/Classify-Industry-for-Companies
A model that could accurately predict the Industry Domain for different start-ups and companies based on descriptions, titles and categories.
Language: HTML - Size: 86.9 KB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 0

antoniopelusi/youtube-classification
Multiclass classification of Youtube videos using text mining.
Language: Jupyter Notebook - Size: 3.93 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

HeyHera/Hera
This project presents Hera, an Operating System level voice recognition package that understands voice commands to perform actions to simplify the user’s workflow. We propose a modernistic way of interacting with Linux systems, where the latency of conventional physical inputs are minimized through the use of natural language speech recognition.
Language: Python - Size: 67.7 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

JuzerShakir/Forest_Cover-Type
Classifying Forest Cover type
Language: HTML - Size: 48.7 MB - Last synced at: 26 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 6

Abonia1/Text-Classifer-ML.Net
Auto Classify Text
Language: C# - Size: 639 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 2

saarbk/Introduction-to-Machine-Learning
Sharing both theoretical and programing ideas, that I came across at Introduction to Machine Learning course. notes, homework solution and python assignment
Language: TeX - Size: 1.57 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

msikorski93/Sentiment-Analysis-on-Amazon-Reviews
A basic NLP project on musical instruments reviews on Amazon.
Language: Jupyter Notebook - Size: 560 KB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

mhsharifi96/Hand-Digits-Recognition-
Recognize Handwritten Digits(persian/english) with Neural Networks
Language: Python - Size: 21.1 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

Akash-Peace/REACTJS-FIREBASE-YT
Paid Promoters Recommender project objective is to make a recommendation system that recommends youtube content creators relevant to ads of advertisers.
Language: JavaScript - Size: 6.8 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

KhaledTofailieh/Hotel-Reviews-Sentiment-Analysis
In this notebook I've build a nlp/machine learning model that classify hotel-reviews.
Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

SURYA-LAMICHANEY/UN-SDG-Classifier
A simple UN sustainable development goals classifier using SGD classifier for modeling and streamlit for UI
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

camara94/choisir-son-modele-de-machine-learning
Le Machine Learning, aussi appelé apprentissage automatique en français, est une forme d’intelligence artificielle permettant aux ordinateurs d’apprendre sans avoir été programmés explicitement à cet effet.
Size: 18.7 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Shaurov05/Website-Classification
Classifying a website based on it's URL. I've implemented Stochastic Gradient Descent, Multinomial Naive Bayes and Convolutional Neural Network for classifying the category of the URL.
Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

catherinewbaker/MusicGenreClassification
This project aims to clarify the role of meta data in music genre classification and how helpful or hurtful it can be to music recommendation systems. Much experimentation was done with multiple different machine learning models and results were analysed and collated into a single academic paper
Language: Jupyter Notebook - Size: 29.2 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

AboNady/Titanic_Classification
In this challenge, I build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
Language: Python - Size: 42 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mohammadreza-ebrahimi/Machine-Learning-Training
This repository has been established in order to train fundamental concepts in machine learning with some examples.
Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

SanjarH/Sarcasm-Detection
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

SyrineB11/Classification-projects
Solved Classification Problems
Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

kartika-nair/ML-spark-streaming
Using Spark Streaming and Spark MLlib (via PySpark) to perform Sentiment Analysis on a dataset of Tweets.
Language: Python - Size: 4.2 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

jerrycyng/Natural-Language-Processing-Classification-and-Clustering
NLP Classification and Clustering with spam SMS dataset
Language: Jupyter Notebook - Size: 286 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

mustafahakkoz/Advertisement-CTR-Prediction
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 4

Ankit152/StackOverflow-Tag-Prediction
A machine learning model that predicts tags for a given question and body.
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Pushpendra9350/Iris-flower-classification-with-EDA
This is a very simple model to predict Iris flower species. we have three types of species in it (Versicolor, Verginica, Setosa).
Language: Jupyter Notebook - Size: 288 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

LailaMahmoudi/mnist-classification
MNIST Handwritten Digits Classification
Language: Jupyter Notebook - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

MatiasFlores96/nlp_dissaster_tweet Fork of MatiasLoiseau/nlp_dissaster_tweet
Trabajo Práctico Final para la materia Organización de Datos 75.06 - UBA. Score máximo obtenido de 0.83726 para la competencia 'Real or Not? NLP with Disaster Tweets' de Kaggle.
Size: 16.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Fazle-Rabby-Sourav/pattern-recognition-basic
Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow
Language: Python - Size: 778 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

ninadmehta95/Intelligent-Currency-Identification-System
The primary aim is to apply image processing techniques to diverse datasets using different machine learning algorithms.
Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Ibrahim-Maiga/SpaceX-Falcon9-Landing-Prediction-V2
Machine learning project to predict the success of SpaceX Falcon 9 first stage landings, with the goal of estimating launch costs. It utilizes classification models such as Logistic Regression, Decision Tree, Random Forest, SGD, and SVM to analyze launch data from 2010 to the present (Edition 2).
Language: Jupyter Notebook - Size: 3.22 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Lefteris-Souflas/AI-Fashion
"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.
Language: Jupyter Notebook - Size: 785 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

thabsheerjm/Machine-Learning-repo
Machine learning projects repostitory
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Titanic-survival-prediction
The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.
Language: Jupyter Notebook - Size: 104 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

iamjr15/Ensemble-AI-Text-Detection
This project detects AI-generated text using an ensemble of classifiers: Multinomial Naive Bayes, Logistic Regression, LightGBM, and CatBoost. It includes robust data preprocessing, model development, and evaluation, ensuring accurate identification of AI-generated content from a diverse text dataset.
Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AnamikaRekha1999/Consumer-Complaints-Analysis-Project
This project was completed as part of the Applied Machine Learning course at Drexel University, Philadelphia. The project aimed to apply machine learning algorithms to analyze a dataset of consumer complaints and categorize them into different groups based on the issues related to goods or services.
Language: Jupyter Notebook - Size: 980 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

alexoliveros92/Regression
Logistic regression and stochastic gradient descent approaches used to predict a binomial variable
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jodiambra/Film-Junky-Union-Sentiment-Analysis
We built a model for Film Junky Union to detect negative reviews.
Language: Jupyter Notebook - Size: 6.81 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

NipunRathore/Tags-Prediction
Language: Jupyter Notebook - Size: 7.32 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sachelsout/logistic-regression-from-scratch
This repository has the implementation of Logistic Regression algorithm from scratch, using SGD (Stochastic Gradient Descent). Scikit Learn library is not used.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ff-zhang/mnist-classifier
SGD classifier for the MINST dataset built using Eigen in C++
Language: C++ - Size: 11.1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Gaiban-Khan/Crop-Recommendation-System
A machine learning system that makes crop recommendations based on soil and weather data.
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Srivardhini2002/AUTOMATED-TAG-PREDICTION-SYSTEM
An automated tag prediction system on stackoverflow
Language: Python - Size: 11.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

rahul-madaan/Restaurant-Recommendation-System
Using Restaurant Consumer Rating database to predict and recommend top rated restaurants based on user and restaurant profile.
Language: Jupyter Notebook - Size: 4.52 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Abhishek4848/Email_Spam_Classifier
Email Spam Classification with Spark streaming and Predictive Data Modelling
Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

Big-Data-Course-Team/Machine-Learning-with-Spark-Streaming
Sentiment Analysis with Spark Streaming
Language: Python - Size: 851 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

prateekagr21/Classification-of-websites
Classified the types of URL using machine learning algorithms.
Language: Jupyter Notebook - Size: 367 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

tulkot/Mamaearth-Products-Scraped-and-Classified
Language: Jupyter Notebook - Size: 207 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

napsterninad20/Intelligent-Currency-Identification-System
The primary aim is to apply image processing techniques to diverse datasets using different machine learning algorithms.
Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Specathon2k21/Team-Brighter-2021-Fake-Reviews-Detection
Fake reviews detection using SGD Classifier , with an flexible user interface
Language: Python - Size: 11.1 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

rmakkar2018/DetectAsana
Classification of Body postures using different ML algorithms and comparing their performances.
Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

wonderyue/TextClassifier
spam/ham classifier
Language: Python - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jaygshah/CSE598Project Fork of rhatgadkar/DistributedSGDRay
Improving Performance for Distributed SGD using Ray
Language: Python - Size: 442 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Abonia1/Text-Classifier-Scikit
Text Category Classifier
Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

nirupampratap/mnist_image_classification
Using MNIST dataset and classifying images
Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

JuzerShakir/Finding-Donors-CharityML 📦
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Language: HTML - Size: 1.01 MB - Last synced at: 22 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

chicago-joe/IE598_F18_HW1
Language: Python - Size: 352 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

rohith28/Classification
Training binary classifier and multi-class classifier to classify the MNIST datase
Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

shourya1997/finding_donors
In this project, we will apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
Language: Jupyter Notebook - Size: 549 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

pedro-pinho/finch-test
A simple classifier of music genders, Naive bayes, SGD and SVM used.
Language: Python - Size: 4.56 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

brihat9135/MovieReviewClassification
Binary Classification for Movie Reviews
Language: Python - Size: 468 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 2

NirmalKanagasabai/Reddit_TopicClassification__RandomForest_SGDClassifier
Supervised Machine Learning methods (Random Forest and SGD Classifier) to classify short conversations extracted from Reddit
Language: Python - Size: 242 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1
