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classification-algorithims

Here are 9 public repositories matching this topic...

pitmonticone / PlantDiseaseClassification

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

computer-science data-science deep-neural-networks computer-vision deep-learning neural-network neural-networks convolutional-neural-networks classification-algorithims plant-disease-detection plant-pathology-fgvc7 plant-disease-classification

Updated Nov 12, 2021
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Coursera-Students-Community / Deep-Learning-Specialization

Coursera - Deep Learning Specialization - deeplearning.ai

deep-learning neural-network tensorflow keras coursera recurrent-neural-networks batch-normalization convolutional-neural-networks gradient-descent hyperparameter-tuning andrew-ng classification-algorithims mini-batch-gradient-descent neural-style-transfer deeplearning-ai yolov3 machine-learning-case-study

Updated Apr 9, 2019
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mardavsj / mushroom-classification

This repository classifies mushrooms as poisonous or edible using various machine learning algorithms

python machine-learning-algorithms naive-bayes-classifier support-vector-machine decision-tree-classifier classification-algorithims

Updated Jul 5, 2023
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ChanchalKumarMaji / Coursera-Deep-Learning-Specialization-deeplearning.ai

[Coursera] Deep Learning Specialization on Coursera

deep-learning neural-network tensorflow keras coursera recurrent-neural-networks batch-normalization convolutional-neural-networks gradient-descent hyperparameter-tuning andrew-ng classification-algorithims mini-batch-gradient-descent neural-style-transfer deeplearning-ai yolov3 machine-learning-case-study

Updated Jan 22, 2019
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mekhod / finding_donors

Different classification algorithms are used to predict income levels of potential donors. The hyperparameters of the classifiers are optimized via grid_search and, among others, an ensemble classifier with the highest prediction performance is selected for this classification project.

ipython-notebook ensemble-model classification-algorithims

Updated Oct 28, 2017
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harshadindigal / RDirectory

Data Science Experiments

visualization linear-regression multiple decision-trees regression-models classification-algorithims kknn

Updated May 18, 2018
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uniquevineet / unsupervised_learning

Applying unsupervised learning algoriths on online shoppers intention data and model building

random-forest clustering naive-bayes-classifier pca-analysis pca logistic-regression unsupervised-learning knn decision-tree clustering-algorithm decision-tree-classifier kmeans-clustering classification-algorithims kmeans-algorithm unsupervised-machine-learning knn-classification agglomerative-clustering unsupervised-clustering logisticregression heirarchical-clustering

Updated Dec 8, 2019
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amy-panda / NBA_Career_Prediction

Predicting if a NBA rookie player will last at least 5 years in the league

feature-engineering imbalanced-data classification-algorithims imputation-methods crisp-dm hyperparameters-tuning

Updated Apr 7, 2024
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gregyjames / RPerceptron

A simple perceptron implemented in R.

data-science r deep-neural-networks deep-learning classification graphing perceptron classification-algorithm classification-algorithims perceptron-learning-algorithm linear-classifier

Updated Oct 18, 2019
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