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GitHub topics: gaussian-discriminant-analysis

ogunlao/foundations_of_ml

Machine Learning algorithms built from scratch for AMMI Machine Learning course

Language: Jupyter Notebook - Size: 330 KB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 5

tugrulhkarabulut/Gaussian-Discriminant-Analysis

Gaussian Discriminant Analysis introduction and Python implementation from scratch

Language: Jupyter Notebook - Size: 936 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 1

yuyutsusaini/COL774

All assignments of COL774-2022 Machine Learning course.

Language: Python - Size: 9.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ankesh007/Machine-Learning-Assignments

Language: Jupyter Notebook - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 4

SukritiGupta/Regression_and_GDA

Machine Learning COL774: Assignment 1

Language: Python - Size: 591 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

tA-bot-git/python-logisticReg

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

bamtak/machine-learning-implemetation-python

Basic Machine Learning implementation with python

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 63 - Forks: 48

hthuwal/machine-learning-iitd

Assignments for the Machine Learning course (COL774) at IITD

Language: Python - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 5

Vedant2311/Machine-Learning-Algorithms

Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)

Language: Python - Size: 62 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

alan-toledo/Machine-Learning-Algorithms

Machine Learning From Scratch

Language: Python - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 3

archaic-magnon/Machine-Learning

Implemented various machine learning algorithms from scratch.

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

NikhilGupta1997/Machine_Learning_Models

Implementation of multiple Machine Learning Algorithms in Python

Language: Python - Size: 57.4 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1

siddharthKatageri/toy-gda

Exploring generative learning model

Language: Python - Size: 163 KB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

pradyumnameena/COL774-Machine-Learning

Collection of assignments offered under COL774 - Machine Learning by Prof. Parag Singla

Language: Python - Size: 18 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 2

yash98/glm-gda

A few generalized linear models and one Gaussian discriminant analysis

Language: Python - Size: 301 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

KavishBhatia/MachineLearning

Language: Jupyter Notebook - Size: 888 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

techcentaur/Machine-Learning-COL774

Machine Learning Assignments of the course COL774 taken by Parag Singla, at IIT Delhi.

Language: Python - Size: 51.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Keywords
gaussian-discriminant-analysis 17 logistic-regression 10 linear-regression 10 machine-learning-algorithms 6 decision-trees 6 naive-bayes-classifier 5 support-vector-machines 5 svm 4 random-forest 4 naive-bayes 4 machine-learning 4 neural-network 4 cnn 3 locally-weighted-regression 3 neural-networks 3 stochastic-gradient-descent 3 python 2 newton-method 2 regression 2 gda 2 deep-learning 2 iitd 2 k-means 2 reinforcement-learning 1 polynomial-regression 1 svm-classifier 1 poisson-regression 1 expectation-maximization-algorithm 1 yelp-review-analysis 1 sentiment-analysis 1 scikit-learn 1 post-pruning 1 hyperparameter-optimization 1 fmnist-dataset 1 feature-engineering 1 assignments 1 binary-logistic-regression 1 bandit-algorithm 1 adaboost 1 logisitic-regression 1 sklearn-library 1 random-forest-classifier 1 pytorch-cnn 1 decision-tree-classifier 1 breakout-game 1 multivariate-gaussian-distribution 1 modeling 1 generative-learning-algorithms 1 gaussian-distribution 1 classification-algorithm 1 principal-component-analysis 1 naive-bayes-algorithm 1 cvxopt 1 newtons-method 1 generalized-linear-models 1 rnn 1 lightbgm 1 gradient-boosted-trees 1 bert-transformer 1 bag-of-words 1 supervised-learning 1 quadratic-discriminant-analysis 1 linear-discriminant-analysis 1 classification 1 perceptron-learning-algorithm 1 kmeans-clustering 1 kl-divergence 1 kfold-cross-validation 1 coordinate-descent 1 batch-gradient-descent 1 vgg13 1 pegasos 1 pca 1 gradient-descent 1 backpropogation 1 wrapper-me 1 perceptron-algorithm 1 naive-bayes-implementation 1 multinomial-naive-bayes 1 multiclass-logistic-regression 1 multiclass-gda-implementation 1 logistic-regression-scratch 1 k-means-implementation-in-python 1 gaussian-naive-bayes-implementation 1 sgd 1