ajgquional/classical-ml-experiments

Contains experiments in classical machine learning, for personal reference

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yavenchik/Kaggle-ML-Challenge

An AI championship to predict the churn rates.

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ashithapallath/Abusive_Comment_Detection_Malayalam

This project detects abusive and non-abusive comments in Malayalm Language using the MuRIL Bert model and compares its performance with TF-IDF + SVM and XGBoost. MuRIL outperforms classical models.

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SarwanShah/ASU_2023_Machine-Learning-Models-for-Classification

This repository contains code and a comprehensive report analyzing and comparing the performance of various machine learning models on multiple datasets. The models implemented include Logistic Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Neural Networks (both fully connected and convolutional).

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gautamgc17/ClassicalML_lectures

This repo is a set of curated resources covering traditional machine learning algorithms and techniques.

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curemeongithub/Air-Quality-Prediction--A-Case-of-Indian-Cities

Repository containing the backend code used for writing a research paper on the prediction of AQI in Indian Cities

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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.

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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.

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fmenat/ExoplanetDetection

Public Repository for Exoplanet Detection with Classical Machine Learning Approaches

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sayadennis/classical-ml

Simple and flexible classical ML module that can be used for recording baseline ML performance.

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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.

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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.

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mjmaher987/Machine-Learning

Advanced topics in ML

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VGriga/credit-scoring-binary

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VGriga/metro_traffic_volume

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prathwik0/AML

Classical Machine Learning Concepts + Basic WebScraping + Numpy and Pandas libraries

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SevdanurGENC/ML-Vs-QML

It will be shown how to train a quantum machine learning model to overcome a classification problem.

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mava123-0/Machine-Learning-Projects

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Thehunk1206/Classical-ML-Algorithms

Collection of some classical Machine learning Algorithms.

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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.

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di-mi-ta/pylearn_ml191

pylearn_ml191: An implementation of some classical machine learning algorithm

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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.

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subhalingamd/nlp-tweet-sentiment

Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)

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