classical-machine-learning
There are 22 repositories under classical-machine-learning topic.
mohsin-riad/Epileptic-Seizure-Recognition
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.
AindriyaBarua/Contextual-vs-Non-Contextual-Word-Embeddings-For-Hindi-NER-With-WebApp
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.
mjmaher987/Machine-Learning
Advanced topics in ML
yash-dahima/CSE523-Machine-Learning-2023-Air-Quality-Prediction
This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.
Thehunk1206/Classical-ML-Algorithms
Collection of some classical Machine learning Algorithms.
di-mi-ta/pylearn_ml191
pylearn_ml191: An implementation of some classical machine learning algorithm
prathwik0/AML
Classical Machine Learning Concepts + Basic WebScraping + Numpy and Pandas libraries
smart-primate/Linear_Regression_Bike_Sharing
Project to learn linear regression using python, statsmodels and scikit-learn
Tikhon-Radkevich/CourseYandexML
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.
fmenat/ExoplanetDetection
Public Repository for Exoplanet Detection with Classical Machine Learning Approaches
nekcht/ml-classic-scratch
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.
rishz09/prml-course-project
Handwritten Digit Classification on MNIST Dataset, Utilising Only Traditional Machine Learning Techniques and a Custom Feature Extractor, achieving highest accuracy of 98.08% with the same.
sayadennis/classical-ml
Simple and flexible classical ML module that can be used for recording baseline ML performance.
smart-primate/House_Price_Prediction
An attempt at identifying the features which most affect house prices and create a model which can predict house prices.
mytechnotalent/Population-of-all-US-Cities-2024
This notebook uses regression modeling to predict the annual population change of US cities based on their population in 2024 and 2020, population density, and area.
SevdanurGENC/ML-Vs-QML
It will be shown how to train a quantum machine learning model to overcome a classification problem.
SharathHebbar/The-Algorithmic-Alchemist
A open source playground for classical Machine Learning Stuffs
smart-primate/Telecom_Churn_Case_Study
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.
subhalingamd/nlp-tweet-sentiment
Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)