https://github.com/dominhhai/mldl
Learn ML&DL from scratch
https://github.com/dominhhai/mldl
deep-learning example machine-learning study
Last synced: 10 months ago
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Learn ML&DL from scratch
- Host: GitHub
- URL: https://github.com/dominhhai/mldl
- Owner: dominhhai
- License: mit
- Created: 2017-12-13T04:56:55.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-12-07T23:48:00.000Z (over 3 years ago)
- Last Synced: 2025-07-20T10:41:19.343Z (11 months ago)
- Topics: deep-learning, example, machine-learning, study
- Language: Jupyter Notebook
- Size: 2.64 MB
- Stars: 9
- Watchers: 2
- Forks: 32
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# mldl
Learn ML&DL from scratch
## Install
0. Install `pip` and `virtualenv`
```
$ sudo easy_install pip
$ pip install --upgrade virtualenv
```
1. Create Virtualenv
```
$ virtualenv --system-site-packages .venv
```
2. Install dependences
```
$ source .venv/bin/activate
$ easy_install -U pip
$ pip install -r requirements.txt
```
## Usage
1. Begin by activing Virtualenv
```
$ source .venv/bin/activate
```
2. Exit by deactiving Virtualenv
```
$ deactivate
```
## Folders
* `dataset`: dataset for leanring
* `code`: source code.
> `.tf.py` is code for `TensorFlow`.
>
> Others for normal python program.
## Examples
1. [Linear Regression](/code/linear_regression)
2. [Linear Classification](/code/linear_classification)