Machine Learning Examples

Requirements

• Docker
• Docker Compose
• Jupyter Notebook(https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html) You are likely to use a jupyter/scipy-notebook image.(https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-scipy-notebook)
• Python 3.6

Sections & Collection Resources

+Overview ML Beginner

Data Preprocessing

• Missing data
• Endcoding categorical data
• Feature Scaling

Regression

• Linear Regression
• Multiple Linear Regressionb
• Decision Tree Regression
• Random Forest Regression

Classification

• Logistic Regression
• Classification
• K Nearest Neighbors and Naive Bayes
• SVM
• Decision Tree Classification
• Random Forest Classification
• Stack for Classification

Clustering

• K Means
• Var Model

Natural Language Processing

• Understand Sentiment
• TensorFlow Hub
• Notebook
• TensorFlow Hub Github Examples
• NLP Transfer learning techniques to predict Tweet stance
• NLP Transfer Github
• Text Preprocessing Methods

Deep Learning

• Counting Parameters
• FFNNs(Feed Forward Neural Network)
• RNNs(Recurrent Neural Network)
• CNNs(Convolutional Neural Network)
• Mask RCNN

Devops

Create base image for Machine Learning

$cd devops
$docker build -t nhatthai/machine-learning-python3.6 .
$docker push nhatthai/machine-learning-python3.6

Using Jupyter Notebook in docker

$docker run --rm -p 8888:8888 jupyter/scipy-notebook:17aba6048f44

$cd devops
$docker-compose up

Import libraries

$docker exec [container_id] pip install nltk

Reference

• Docker for Data Science
• Jupyter Image
• Machine Learning A-Z