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