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Data Science Course at General Assembly San Francisco

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Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
01_Intro_Data_Science		01_Intro_Data_Science
02_Python_VersionControl		02_Python_VersionControl
03_Linear_Algebra_APIs_JSON		03_Linear_Algebra_APIs_JSON
04_Intro_ML_KNN_classification		04_Intro_ML_KNN_classification
05_Regression_Regularization		05_Regression_Regularization
06_Dimensionality_Reduction		06_Dimensionality_Reduction
07_Logistic_Regression		07_Logistic_Regression
08_Databases_SQL		08_Databases_SQL
09_K_Means_Clustering		09_K_Means_Clustering
10_MapReduce		10_MapReduce
10_MapReduce_Text_Mining		10_MapReduce_Text_Mining
11_Recommendation_Systems		11_Recommendation_Systems
12_Decision_Trees		12_Decision_Trees
13_SVM_Classification		13_SVM_Classification
14_Text_Mining_NLP		14_Text_Mining_NLP
18_Parallel_Computing		18_Parallel_Computing
HW1		HW1
HW2		HW2
M_Keba_Final_Project		M_Keba_Final_Project
iPython notebooks		iPython notebooks
mapreduce_tutorial		mapreduce_tutorial
text_mining_lab		text_mining_lab
.gitignore		.gitignore
Elevator pitch for final project.docx		Elevator pitch for final project.docx
Lab4.ipynb		Lab4.ipynb
MKeba_HW1.ipynb		MKeba_HW1.ipynb
README.md		README.md
iris_plot_combined.png		iris_plot_combined.png
resource_list.md		resource_list.md
titanic-train.csv		titanic-train.csv

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DAT_SF_5

Data Science Course at General Assembly San Francisco

Test fork - 28 April 2014

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Data Science Course at General Assembly San Francisco

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