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README.md

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# MachineLearningAlgorithms
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As part of the course ECE-GY 6143 at NYU, this repository consists of popular algorithms implemented on
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Python. Feel free to try them out.
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This repository consists of popular algorithms implemented on Python notebooks. Feel free to try them out.
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```
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|-- fashionmnist-classification
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| -- classification.ipynb
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|-- gaussian-distribution
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| -- gaussian-distribution.ipynb
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|-- k-means-clustering
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| -- k-means.ipynb
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|-- linear-regression-with-sklearn
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| |-- exp_test.csv
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| |-- exp_train.csv
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| -- regression-using-sklearn.ipynb
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|-- logistic-regression
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| -- logistic-regression.ipynb
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|-- multivar-linear-regression
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| -- multivar-linear-regression.ipynb
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|-- naive-bayes-spam-filters
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| -- naive-bayes-spam-filters.ipynb
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|-- pca-places-almanac
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| |-- places-almanac.ipynb
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|-- perceptron
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|-- resnet
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| |-- data
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| -- resnet34-finetuning.ipynb
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|-- ridge-regression
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|-- tf-idf-parser
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```

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