Machine Learning Exploration

More tutorials can be found here

Survey a list of popular machine learning models and compute them with python.

Reference books:

Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C. Müller, Sarah Guido
Applied Predictive Modeling by Max Kuhn, Kjell Johnson

Affiliation: Quantitative Methods in Social Sciences, Columbia University

Keywords: Machine Learning, Supervised Learning, Unsupervised Learning.

Software: Python, sklearn, numpy, pandas, matplotlib, keras

Supervised Learning

Regression on California Test Scores
Classification on red and white wine characteristics

Unsupervised Learning

K Means Cluster
Hierarchical Cluster Analysis
Principal Component Analysis

Classification on Text Data

Import the text data
Vectorize
Run three models and Select
Inspect all models by visualizing the coefficients

Neural Network

Run a multilayer perceptron with two hidden layers 
selecting the number of hidden units using GridSearchCV and evaluation on a test-set. 
Describe the differences in the predictive accuracy of models with different numbers of hidden units. 
Describe the predictive strength of your best model.