# MachineLearningAlgorithms

This repository consists of popular algorithms implemented on Python notebooks. Feel free to try them out.


```
|-- fashionmnist-classification
|   -- classification.ipynb
|-- gaussian-distribution
|   -- gaussian-distribution.ipynb
|-- k-means-clustering
|   -- k-means.ipynb
|-- linear-regression-with-sklearn
|   |-- exp_test.csv
|   |-- exp_train.csv
|   -- regression-using-sklearn.ipynb
|-- logistic-regression
|   -- logistic-regression.ipynb
|-- multivar-linear-regression
|   -- multivar-linear-regression.ipynb
|-- naive-bayes-spam-filters
|   -- naive-bayes-spam-filters.ipynb
|-- pca-places-almanac
|   |-- places-almanac.ipynb
|-- perceptron
|-- resnet
|   |-- data
|   -- resnet34-finetuning.ipynb
|-- ridge-regression
|-- tf-idf-parser

```
