Machine learning: Practical applications
This repository contains machine learning models which implemented and trained completely by Iman Irajian.
| ID | Model | Dataset |
|---|---|---|
| 1 | Multivariate Linear Regression | Boston House-Prices dataset |
| 2 | Convolutional AutoEncoder | MNIST dataset |
Tools:
| ID | Title | File | Description |
|---|---|---|---|
| 1 | k-fold cross validation formulation | 1_k-fold_cross-validation_formulation.ipynb | A mathematical formulation for k-fold cross-validation |
Preprocessing:
| ID | Title | File | Dataset |
|---|---|---|---|
| 1 | Log of word frequencies | shakespeare_log-of-word-frequencies.py | TensorFlow.org Shakespeare dataset |
Helpers:
| ID | Title | File | Description |
|---|---|---|---|
| 1 | MNIST dataset helper | mnist_helper.py | MNIST dataset loading helper |
Author: Iman Irajian
| Contact | |
|---|---|
| Email: | iman.irajian@gmail.com |
| LinkedIn: | linkedin.com/in/imanirajian |