Analytics

Included is a collection of some analytics and machine learning work I've done recently

If you want to follow along "lesson style" here's my suggested progression:

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Building our own K-Means Algorithm.ipynb		Building our own K-Means Algorithm.ipynb
Ensemble Methods.ipynb		Ensemble Methods.ipynb
Feature Selection.ipynb		Feature Selection.ipynb
Hyperparameter Selection and Visualization.ipynb		Hyperparameter Selection and Visualization.ipynb
K-Nearest Neighbors and Hyperparameter Search.ipynb		K-Nearest Neighbors and Hyperparameter Search.ipynb
Loss Functions and Gradient Descent.ipynb		Loss Functions and Gradient Descent.ipynb
Model Validation Techniques.ipynb		Model Validation Techniques.ipynb
Numerai Competition Attempt.ipynb		Numerai Competition Attempt.ipynb
README.md		README.md

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