W207_CrimeClassification

Final Project for MIDS 207, Introduction to Machine Learning, Fall 2017, for UC Berkeley's Master of Information and Data Science.

Group Members:
Cyprian Gascoigne
Kim Vignola
Laura Williams

This project predicted crime in San Francisco using the dataset from a Kaggle competition titled San Francisco Crime Classification.

This repository is no longer being developed and is a read-only archive.

Name		Name	Last commit message	Last commit date
Latest commit History 87 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Images		Images
Kaggle Submission Files		Kaggle Submission Files
.gitignore		.gitignore
LR.pkl		LR.pkl
LRno_months.pkl		LRno_months.pkl
LRno_seasons.pkl		LRno_seasons.pkl
LRno_weekdays.pkl		LRno_weekdays.pkl
LRwith_L2.pkl		LRwith_L2.pkl
NN_with_TF_2.ipynb		NN_with_TF_2.ipynb
README.md		README.md
W207 Final Project - Logistic Regression Model.ipynb		W207 Final Project - Logistic Regression Model.ipynb
W207 Final Project - Naive Bayes Model.ipynb		W207 Final Project - Naive Bayes Model.ipynb
W207 Final Project - Tree and Forest Models.ipynb		W207 Final Project - Tree and Forest Models.ipynb
W207 Final Project Baseline Submission.ipynb		W207 Final Project Baseline Submission.ipynb
W207 Final Project Data Set Up-FINAL.ipynb		W207 Final Project Data Set Up-FINAL.ipynb
W207 Final Project Data Set Up.ipynb		W207 Final Project Data Set Up.ipynb
W207 Final Project EDA.ipynb		W207 Final Project EDA.ipynb
W207 Final Project KNN Model.ipynb		W207 Final Project KNN Model.ipynb
W207 Final Project Neural Network Prototype.ipynb		W207 Final Project Neural Network Prototype.ipynb
crime_class_EDA.Rmd		crime_class_EDA.Rmd
data.zip		data.zip
data_subset.zip		data_subset.zip
raw_data.zip		raw_data.zip
testing.zip		testing.zip

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