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gaussian-discriminant-analysis

Here are 18 public repositories matching this topic...

waynemystir / stanford-cs229

These are my solutions to the problem sets for Stanford's Machine Learning class - cs229

svm naive-bayes-classifier generative-model stanford logistic-regression naive-bayes-classification exponential-family cs229 naive-bayes-tutorial naive-bayes-implementation gaussian-discriminant-analysis

Updated Jul 31, 2018
Jupyter Notebook

bamtak / machine-learning-implemetation-python

Basic Machine Learning implementation with python

machine-learning linear-regression machine-learning-algorithms multinomial-naive-bayes k-means-implementation-in-python newton-method multiclass-logistic-regression gaussian-naive-bayes-implementation naive-bayes-implementation perceptron-algorithm gaussian-discriminant-analysis logistic-regression-scratch multiclass-gda-implementation wrapper-me

Updated Jul 1, 2020
Jupyter Notebook

tugrulhkarabulut / Gaussian-Discriminant-Analysis

Gaussian Discriminant Analysis introduction and Python implementation from scratch

python machine-learning supervised-learning classification quadratic-discriminant-analysis linear-discriminant-analysis gaussian-discriminant-analysis

Updated Jul 23, 2020
Jupyter Notebook

ogunlao / foundations_of_ml

Machine Learning algorithms built from scratch for AMMI Machine Learning course

linear-regression naive-bayes-classifier kmeans-clustering coordinate-descent kl-divergence perceptron-learning-algorithm kfold-cross-validation gaussian-discriminant-analysis

Updated Jul 5, 2020
Jupyter Notebook

alan-toledo / Machine-Learning-Algorithms

Machine Learning From Scratch

reinforcement-learning machine-learning-algorithms naive-bayes-classifier neural-networks logistic-regression k-means polynomial-regression expectation-maximization-algorithm svm-classifier poisson-regression gaussian-discriminant-analysis

Updated Feb 7, 2021
Python

hthuwal / machine-learning

Assignments for the Machine Learning course (COL774) at IITD

neural-network random-forest svm naive-bayes linear-regression machine-learning-algorithms cnn pca logistic-regression gradient-descent decision-trees pegasos backpropogation gaussian-discriminant-analysis vgg13

Updated May 22, 2018
Python

NikhilGupta1997 / Machine_Learning_Models

Implementation of multiple Machine Learning Algorithms in Python

naive-bayes linear-regression neural-networks logistic-regression k-means decision-trees support-vector-machines principal-component-analysis gaussian-discriminant-analysis

Updated Mar 4, 2018
Python

galustian / Gaussian-Discriminant-Analysis

Implementations of the LDA and QDA algorithms for classification.

classification gaussian-discriminant-analysis

Updated May 24, 2018
Python

ankesh007 / Machine-Learning-Assignments

deep-learning neural-network svm regression cnn naive-bayes-classifier decision-trees iitd generalized-linear-models gaussian-discriminant-analysis

Updated Feb 4, 2019
Jupyter Notebook

SukritiGupta / Regression_and_GDA

Machine Learning COL774: Assignment 1

regression logistic-regression gaussian-discriminant-analysis

Updated Dec 20, 2019
Python

KavishBhatia / MachineLearning

adaboost support-vector-machines stochastic-gradient-descent bandit-algorithm gaussian-discriminant-analysis binary-logistic-regression

Updated Jul 1, 2019
Jupyter Notebook

tA-bot-git / python-logisticReg

sgd logistic-regression stochastic-gradient-descent newtons-method gda gaussian-discriminant-analysis

Updated Dec 13, 2018
Jupyter Notebook

siddharthKatageri / toy-gda

Exploring generative learning model

modeling classification-algorithm gaussian-distribution gda multivariate-gaussian-distribution gaussian-discriminant-analysis generative-learning-algorithms

Updated Jun 16, 2020
Python

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)

sentiment-analysis random-forest linear-regression scikit-learn machine-learning-algorithms naive-bayes-classifier neural-networks hyperparameter-optimization logistic-regression cvxopt decision-trees feature-engineering support-vector-machines stochastic-gradient-descent batch-gradient-descent post-pruning gaussian-discriminant-analysis yelp-review-analysis fmnist-dataset

Updated Jan 27, 2021
Python

yash98 / glm-gda

A few generalized linear models and one Gaussian discriminant analysis

linear-regression logisitic-regression locally-weighted-regression gaussian-discriminant-analysis

Updated Feb 15, 2019
Python

techcentaur / Machine-Learning-COL774

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

machine-learning linear-regression naive-bayes-classifier logistic-regression iitd assignments locally-weighted-regression gaussian-discriminant-analysis

Updated May 12, 2019
Python

archaic-magnon / Machine-Learning

Implemented various machine learning algorithms from scratch.

neural-network random-forest svm linear-regression machine-learning-algorithms logistic-regression decision-trees support-vector-machines naive-bayes-algorithm newton-method gaussian-discriminant-analysis

Updated Jul 12, 2021
Jupyter Notebook

pradyumnameena / COL774-Machine-Learning

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

neural-network naive-bayes linear-regression machine-learning-algorithms logistic-regression breakout-game support-vector-machines decision-tree-classifier random-forest-classifier pytorch-cnn locally-weighted-regression sklearn-library gaussian-discriminant-analysis

Updated Mar 8, 2020
Python

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