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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

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