https://github.com/jackgoh/devcon-ml
https://github.com/jackgoh/devcon-ml
deeplearning keras machine-learning
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/jackgoh/devcon-ml
- Owner: jackgoh
- Created: 2017-08-17T13:12:53.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-08-20T10:05:36.000Z (almost 8 years ago)
- Last Synced: 2025-01-12T06:07:16.148Z (4 months ago)
- Topics: deeplearning, keras, machine-learning
- Language: Jupyter Notebook
- Size: 452 KB
- Stars: 0
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Devcon Machine Learning Workshop
Requirements:
* Basic Knowledge of Calculus
* Basic Knowledge of Python Programming Language
Don't worry if you don't meet all requirements above :)
### Before we start, install tensorflow first.
```
https://www.tensorflow.org/install/
```
### Install Git
```
https://git-scm.com/downloads
```
### Clone this repo
```
git clone https://github.com/jackg0h/devcon-ml
```
## Cd into the folder
```
cd devcon-ml
```
### Then install required libraries
```
pip3 install -r requirements.txt
````
### Change Keras backend to Tensorflow
```
https://keras.io/backend/
```
### Lets Get Started
Run following code in your terminal
```
jupyter notebook
```
Workshop Objective:
- Sloving classification problem using supervise machine learning and deep learning algorithm
A machine learning project may not be linear, but it has a number of well known steps:
1. Define Problem.
2. Prepare Data.
3. Evaluate Algorithms.
4. Improve Results.
5. Present Results.
Here is an overview of what we are going to cover:
- Loading the dataset.
- Summarizing the dataset.
- Visualizing the dataset.
- Evaluating some algorithms.
- Making some predictions.
### Dataset used:
Machine Learning:
- Tutorial: Iris dataset
- Handson: Titanic dataset
Deep Learning (CNN):
- Tutorial: MNIST (Handwritten dataset)
- Tutorial: Cat and Dog
- Handson : Malaysian Foods