Topic: classical-machine-learning Goto Github
Some thing interesting about classical-machine-learning
Some thing interesting about classical-machine-learning
classical-machine-learning,Non-contextual : Word2Vec, FastText Contextual : BERT, RoBERTa, ELECTRA, CamemBERT, Distil-BERT, XLM-RoBERTa Analyzed embedding models, used the best one to build a Flask web app for Hindi NER and data collection from user feedback, deployed on AWS.
User: aindriyabarua
classical-machine-learning,pylearn_ml191: An implementation of some classical machine learning algorithm
User: di-mi-ta
classical-machine-learning,Public Repository for Exoplanet Detection with Classical Machine Learning Approaches
User: fmenat
Home Page: https://doi.org/10.19153/cleiej.22.3.3
classical-machine-learning,
User: mava123-0
classical-machine-learning,Advanced topics in ML
User: mjmaher987
classical-machine-learning,The aim of this repo is to contribute to the diagnosis of epilepsy by taking advantage of the engineering. So, for diagnosing of epileptic seizures from EEG signals are transformed discrete wavelet and auto regressive models. After these transformations, extract data is applied input for Back-propagation, k-Nearest Neighbor (k-NN), Support Vector Machines (SVM) ,ANN ,Logistic Regression and Principal Component Analysis algorithms.
User: mohsin-riad
Home Page: https://nbviewer.org/github/mohsin-riad/Epileptic-Seizure-Recognition/tree/main/
classical-machine-learning,Ordinary Least Squares, Ridge Regression, Expectation Maximization, Full Bayesian Inference, Bayes Classifiers, kNN, and MLP core algorithms from scratch. Some auxiliary functions are also used.
User: nekcht
classical-machine-learning,Classical Machine Learning Concepts + Basic WebScraping + Numpy and Pandas libraries
User: prathwik0
classical-machine-learning,Simple and flexible classical ML module that can be used for recording baseline ML performance.
User: sayadennis
classical-machine-learning,It will be shown how to train a quantum machine learning model to overcome a classification problem.
User: sevdanurgenc
classical-machine-learning,A open source playground for classical Machine Learning Stuffs
User: sharathhebbar
classical-machine-learning,An attempt at identifying the features which most affect house prices and create a model which can predict house prices.
User: smart-primate
classical-machine-learning,Project to learn linear regression using python, statsmodels and scikit-learn
User: smart-primate
classical-machine-learning,A case study to identify the major factors which indicate that a customer is about to leave a mobile network. Subsequently, a model is built to predict churn customers in the future.
User: smart-primate
classical-machine-learning,Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)
User: subhalingamd
classical-machine-learning,Collection of some classical Machine learning Algorithms.
User: thehunk1206
classical-machine-learning, These training sessions in machine learning, conducted by Yandex, are dedicated to classical machine learning. This offers an opportunity to reinforce theoretical knowledge through practice on training tasks.
User: tikhon-radkevich
Home Page: https://yandex.ru/yaintern/training/ml-training#polnoe-raspisanie
classical-machine-learning,
User: vgriga
classical-machine-learning,
User: vgriga
classical-machine-learning,This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.
User: yash-dahima
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