rowanv’s gists

rowanv / index.html

Last active January 6, 2016 09:20

Map Dashboard Visualization

rowanv / blog_sparkline.js

Last active December 31, 2016 20:56

Gist to accompany my "How to make Tufte's discrete sparklines using d3.js" at http://dataviztalk.blogspot.com

rowanv / kaggle_bikesharing_GBRT1.py

Created June 19, 2014 14:42

Kaggle Bike Sharing Demand Competition -- Gradient Boosted Regression Trees


	import numpy as np
	import pandas as pd
	import statsmodels.formula.api as sm #lin reg
	import pylab as py
	import matplotlib as mp
	from sklearn.tree import DecisionTreeRegressor
	from sklearn.ensemble import ExtraTreesRegressor
	from sklearn.ensemble import RandomForestRegressor
	from sklearn.ensemble import GradientBoostingClassifier, GradientBoostingRegressor

rowanv / kaggle_bikesharing_lasso.py

Last active July 7, 2016 13:41

Kaggle Bike Sharing Demand Competition - Lasso

	import numpy as np
	import pandas as pd
	import statsmodels.formula.api as sm #lin reg
	import pylab as plt
	import matplotlib as mp


	from sklearn.linear_model import Lasso
	from sklearn.linear_model import LassoCV
	from sklearn.linear_model import lasso_path, enet_path

rowanv / kaggle_bikesharing_decistree.py

Created June 9, 2014 00:38

Kaggle Bike Sharing Demand - Decision Tree Regressor


	import numpy as np
	import pandas as pd
	import statsmodels.formula.api as sm #lin reg
	import pylab as py
	import matplotlib as mp
	from sklearn.tree import DecisionTreeRegressor
	from sklearn.ensemble import ExtraTreesRegressor
	from sklearn.ensemble import RandomForestRegressor

rowanv / kaggle_bikesharing_linreg.py

Last active August 29, 2015 14:02

Kaggle Bike Sharing Demand Competition - Linear Regression - R

	#Kaggle competition

	import numpy as np
	import pandas as pd
	import statsmodels.formula.api as sm #lin reg
	import pylab as py

	%pylab qt
	#create graphs

rowanv / kaggle_bikesharing_1.R

Created June 8, 2014 23:41

Kaggle Bike Sharing Demand Competition - Linear Regression Model - R

	library(caTools)
	library(caret)
	library(Amelia)

	data.dir <- "/Documents/Data\ Science/Kaggle/Bike\ Sharing\ Demand/"

	train.file <- paste0(data.dir, "train.csv")
	test.file <- paste0(data.dir, "test.csv")

	bk <- read.csv(train.file)

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