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GitHub topics: linear-classification

KimRass/CLIP

PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k

Language: Python - Size: 18.3 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

fuzailpalnak/ML-Scratch

Implementation of various Machine Learning Algorithms and Machine Learning Concepts in Python

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

Debashisa-5005966/Internship-Project

This Repository Contains all the Information and the Projects that I did at SAIL during my Internship

Language: Python - Size: 98.6 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

jonperk318/machine-learning-in-python

ML models built from scratch in Python 3.9.13

Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yzdxstii/MachineLearning-Project-TabrizUniversity

machine learning using python language to implement different algorithms

Language: Jupyter Notebook - Size: 162 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KyleZrey/membership-classification

Different machine learning approaches on classifying customers who are most likely to purchase an offer. Made with Jupyter Notebook, scikit-learn, and other helpful python packages.

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

XavierCarrera/Tutorial-Machine-Learning-Clasificacion-Lineal

Con clasificación lineal podemos categorizar datos a partir de observaciones previas. Sus implementaciones va desde la detección de fraudes a segmentizar clientes. Acá te explico desde un punto matemático y teórico como se aplica. Además, hacemos una pequeña implementación.

Language: Jupyter Notebook - Size: 932 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

joshivanhoe/sparsely

Scalable sparse linear models in Python

Language: Python - Size: 161 KB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

thieu1995/mealpy-text-classification

Text classification with Machine Learning and Mealpy

Language: Python - Size: 1.66 MB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

limalkasadith/OxfordIIITPet-classification

This repository contains a PyTorch implementation for classifying the Oxford IIIT Pet Dataset using KNN and ResNet. The goal is to differentiate the results obtained using these two approaches.

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TheArtificialDev/BangalorePricePrediction

Bengaluru House Price Prediction using Python (Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn). Machine learning predicts prices based on features like location, size, and bathrooms. Data preprocessing, Ridge Regression model, and evaluation metrics ensure accurate predictions. Clone, install, and run the script for precise Bengaluru house prices

Language: Python - Size: 191 KB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

n57cruz/n57cruz.portfolio

Nicole Cruz Portfolio

Language: Jupyter Notebook - Size: 770 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nonkloq/ml-from-scratch

Machine Learning Algortihms from scratch.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

snrazavi/Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms

Language: Jupyter Notebook - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 111 - Forks: 63

jaimedantas/perceptron-classification

Implementation of the perceptron algorithm on MATLAB for classification

Language: MATLAB - Size: 280 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

thupchnsky/PoincareLinearClassification

Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)

Language: Python - Size: 2.43 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 2

Abuzariii/COVID-19-Vaccine-Effectiveness-by-Age-Groups

Analyzed the effectiveness of COVID vaccine on 8 different age groups and trained 5 classification machine learning models to check whether the the vaccine developed immunity in 100k people from an age group or not.

Language: Jupyter Notebook - Size: 708 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

xmc-aalto/dismecpp

A software package for large-scale linear multilabel classification.

Language: C++ - Size: 18.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

detjonmataj/C-Perceptron

Implementation of a Simple Perceptron (Simplest Neural network by Frank Rosenblatt) in C based on the example given example in the Veritasium video.

Language: C - Size: 27.3 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ThuraTunScibotics/Data-Science-and-Machine-Learning

This repository is my learning and practice of of essential concepts and framework-techniques for Data Science and Machine Learning.

Language: Jupyter Notebook - Size: 8.99 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

andgorser/Projects

Here you can find my practical works from ML course at MSU

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

mark-antal-csizmadia/svm

Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.

Language: Jupyter Notebook - Size: 301 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 2

Helga-Helga/methods_of_artificial_intelligence

Laboratory works on Methods of Artificial Intelligence course

Language: Jupyter Notebook - Size: 653 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

mohammed-rampurawala/tensorflow_linear_classifcation

Linear classification problem with tensorflow (Using LNNClassifier and DNNClassifier)

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 4

cainmagi/tensorflow-guide

A Chinese guide book for learning Tensorflow from a starter.

Language: HTML - Size: 3.15 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

Related Keywords
linear-classification 25 machine-learning 13 python 8 linear-regression 6 classification 5 artificial-intelligence 5 random-forest 4 matplotlib 4 scikit-learn 4 linear-classifier 3 support-vector-machines 3 pandas 3 numpy 3 machine-learning-algorithms 3 perceptron 3 supervised-learning 2 tensorflow 2 decision-trees 2 python3 2 optimization-algorithms 2 neural-network 2 naive-bayes-classifier 2 convolutional-neural-networks 2 deep-learning 2 jupyter-notebook 2 clustering 2 logistic-regression 2 knn-classification 2 artificial-neural-networks 2 regression 2 binary-classifier 1 c 1 tensorflow2 1 c-programming 1 c-programming-language 1 ml 1 binary-classification 1 knn 1 ai 1 multilabel-classification 1 extreme-multi-label-classification 1 xgboost 1 vaccination 1 seaborn 1 logistics-regression 1 immunology 1 data-visualization 1 data-analysis 1 covid19-data 1 covid-19 1 hyperbolic-geometry 1 surrogate-based-optimization 1 perceptron-learning-algorithm 1 tutorials 1 tutorial-sourcecode 1 tutorial-code 1 tutorial 1 tensorflow-tutorials 1 tensorflow-experiments 1 tensorflow-examples 1 self-defined-layer 1 optimizer 1 optimization 1 nonlinear-regression 1 nonlinear-optimization 1 non-linear-regression 1 non-linear-optimization 1 linear-regressor 1 lnn-classifier 1 dnn 1 sales-prediction 1 missing-values 1 fuzzy-logic 1 categorical-features 1 artificial-intelligence-algorithms 1 slack-variables 1 non-linear-classification 1 kernel-functions 1 discriminative-model 1 decision-boundary 1 workshop 1 mealpy 1 lstm 1 hyper-parameter-tuning 1 gru 1 genetic-algorithm 1 cnn 1 bagging 1 data-science 1 clasificacion-lineal 1 logistic-classification 1 k-nearest-neighbors 1 sklearn 1 principal-component-analysis 1 pca 1 mnist 1 feature-extraction 1 svm-classifier 1 machine-learning-models 1 kernel-regression 1