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find-salgorithm

Here are 7 public repositories matching this topic...

RiteshPuvvada / Machine-Learning-Lab

A cluster of Machine Learning algorithms

machine-learning random-forest linear-regression machine-learning-algorithms neural-networks logistic-regression svm-classifier multivariate-regression univariate-regressions id3-algorithm linear-svm navie-bayes-algorithm candidate-elimination knn-algorithm multiclass-svm weighted-knn find-salgorithm kernal-svm

Updated Nov 18, 2021
Jupyter Notebook

ishan-gupt / MachineLearningLab

Dump for all my ML lab work and submissions.

machine-learning naive-bayes linear-regression naive-bayes-classifier id3 logistic-regression decision-trees support-vector-machines svm-classifier k-nearest-neighbours knn-classifier candidate-elimination random-forest-regression find-salgorithm

Updated Nov 17, 2021
Jupyter Notebook

manishsingh7163 / Machine-Learning-Algorithms

Machine Learning Algorithms uses LATEX for Documentation

python documentation csv latex machine-learning-algorithms python3 id3 pprint decision-tree miktex texstudio candidate-elimination decison-trees find-s find-salgorithm

Updated Aug 2, 2020
Jupyter Notebook

kevinadhiguna / find-S-algorithm

Implementation of one of algorithms in Machine Learning, Find-S Algorithm, in Python.

python machine-learning jupyter-notebook find-salgorithm

Updated Aug 21, 2022
Jupyter Notebook

sumony2j / Find-S_Algorithm

Implement Find-S algorithm which is used in concept learning

python3 jupyter-notebooks concept-learning find-s find-salgorithm

Updated Apr 14, 2024
Jupyter Notebook

safirmotiwala / ML-FindS-PyPi

Find-S is a Machine Learning algorithm that finds the most specific hypothesis that fits all the positive examples.

python package machine-learning machine-learning-algorithms ml pip finds find-s find-salgorithm pip-finds classic-finds pip-find-s find-s-pypi finds-pypi python-find-s

Updated Sep 11, 2020
Python

aishwarya4658 / Machine-Learning

1.To understand the implementation procedures for the Machine Learning algorithms. 2.Apply appropriate data sets to the Machine Learning algorithms. (https://archive.ics.uci.edu/ml/datasets.html) 3.Identify and apply Machine Learning algorithms to solve real world problems.

backpropagation-algorithm id3-algorithm find-salgorithm candidate-elimination-algorithm naive-bayesian-classifier

Updated Jun 9, 2020

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