Skip to content

kevinlee1004/MachineLearningWorkShop

Repository files navigation

MachineLearningWorkShop

This is Machine Learning (ML) Workshop material. Please install Anaconda in your computer using "Instruction of Anaconda Installation and ML algorithm import". The workshop will cover how programmer conduct a Machine Learning Projects". The workshop will show the general workflow of ML projects.

  1. Identify the problems to solve
  2. Acquire necessary data
  3. Tranform and clean data
  4. Prepare training and validation data
  5. Select an algorithm
  6. Train an algorithm with trainng data
  7. Validate the trained algorithm with validation data
  8. Solve the problems / Predict with the validated model.

The workshop will also introduce popular

  • ML program: Python
  • ML packages: sklearn, tensorflow, keras
  • ML algorithms: Linear Regression, Logistic Regression, SVM, Deep Neural Network, Convolutional Neural Network

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors